• 제목/요약/키워드: one class classification

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효율적인 사물 이미지 분류를 위한 계층적 이미지 분류 체계의 설계 및 구현 (Design and Implementation of Hierarchical Image Classification System for Efficient Image Classification of Objects)

  • 유태우;김윤욱;정하민;유현수;안용학
    • 융합보안논문지
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    • 제18권3호
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    • pp.53-59
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    • 2018
  • 본 논문에서는 효율적인 사물 이미지 분류를 위한 계층적 이미지 분류 체계 방안에 대해 제안한다. 기존의 전체 이미지를 한 번에 분류하는 무 계층 이미지 분류에서는 상대적으로 유사한 모양을 가진 사물은 효율적으로 인식하지 못하는 모습을 보여줬다. 따라서 본 논문에서는 사물 이미지에 대해 계층적으로 분류를 시도하는 단계적 계층 구조에서의 이미지 분류 기법을 소개한다. 또한, 실제 시스템에 딥 러닝 이미지 분류가 적용되었을 때 발생할 수 있는 확장성에 대해서 고려하기 위해 확장성이 고려된 효율적인 클래스 구성 방식과 알고리즘도 소개한다. 이와 같은 방식은 상대적으로 유사한 형태를 보인 사물 이미지에 대해 더 높은 신뢰도로 이미지를 분류하는 것을 가능하게 한다.

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클래스가 부가된 커널 주성분분석을 이용한 비선형 특징추출 (Nonlinear Feature Extraction using Class-augmented Kernel PCA)

  • 박명수;오상록
    • 전자공학회논문지SC
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    • 제48권5호
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    • pp.7-12
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    • 2011
  • 본 논문에서는 자료패턴을 분류하기에 적합한 특징을 추출하는 방법인, 클래스가 부가된 커널 주성분분석(class-augmented kernel principal component analysis)를 새로이 제안하였다. 특징추출에 널리 이용되는 부분공간 기법 중, 최근 제안된 클래스가 부가된 주성분분석(class-augmented principal component analysis)은 패턴 분류를 위한 특징을 추출하기 위해 이용되는 선형분류분석(linear discriminant analysis)등에 비해 정확한 특징을 계산상의 문제 없이 추출할 수 있는 기법이다. 그러나, 추출되는 특징은 입력의 선형조합으로 제한되어 자료에 따라 적절한 특징을 추출하기 어려운 경우가 발생한다. 이를 해결하기 위하여 클래스가 부가된 주성분분석에 커널 트릭을 적용하여 비선형 특징을 추출할 수 있는 새로운 부분공간 기법으로 확장하고, 실험을 통하여 성능을 평가하였다.

감염성 심내막염의 외과적 치료 (Surgical Treatment of Native Valve Endocarditis)

  • 김애중;김민호;김공수
    • Journal of Chest Surgery
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    • 제28권9호
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    • pp.822-828
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    • 1995
  • This paper reports 15 native valve endocarditis cases had surgical operation in the past 10 years at the department of Cardiovascular and Thoracic Surgery, Chonbuk National University Hospital. In this study, 10 cases out of 15 were in class I or II by the New York Heart Association functional classification. None of the cases had a history of taking addictive drugs. Five cases were congenital heart disease, three cases were rheumatic heart disease and two cases were degenerative heart disease. Thus 10 cases had the underlying disease. All cases had antibiotics treatment for 3 to 6 weeks before operation. In the culture test, only four cases were positive in the blood culture and one case was positive in the excised valve culture. Organisms on blood and valve culture were Streptococcus epidermis, Streptococcus viridans, Staphylococcus aureus and Staphylococcus epidermidis. In the 10 cases without ventricular septal defect, the aortic valve was involved in four, mitral in four, both in two and involved valves in the 5 cases with ventricular septal defect were tricuspid in three, pulmonic in two. Eight cases had operation because they showed moderate congestive heart failure due to valvular insufficiency and vegetation with or without embolism. Seven cases had operation because they showed persistent or progressive congestive heart failure and/or uncontrolled infection. Five cases with ventricular septal defect underwent the closure of ventricular septal defect, vegetectomy and leaflet excision of the affected valves without valve replacement. In the cases without ventricular septal defect, the affected valves were replaced with St. Jude mechanical prosthesis. Postoperative complications were recurrent endocarditis in two, embolism in one, allergic vasculitis in two, spleen rupture in one and postpericardiotomy syndrome in one. At the first postoperative day, one case died of cerebral embolism. At the 11th postoperative month, one case died of recurrent endocarditis and paravalvular leakage in spite of a couple of aortic valve replacement. In the survived cases[13 cases in this study , all cases but one became class I or II by the New York Heart Association functional classification.

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자동 목표물 인식 시스템을 위한 클러스터 기반 투영기법과 혼합 전문가 구조 (Cluster-based Linear Projection and %ixture of Experts Model for ATR System)

  • 신호철;최재철;이진성;조주현;김성대
    • 대한전자공학회논문지SP
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    • 제40권3호
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    • pp.203-216
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    • 2003
  • In this paper a new feature extraction and target classification method is proposed for the recognition part of FLIR(Forwar Looking Infrared)-image-based ATR system. Proposed feature extraction method is "cluster(=set of classes)-based"version of previous fisherfaces method that is known by its robustness to illumination changes in face recognition. Expecially introduced class clustering and cluster-based projection method maximizes the performance of fisherfaces method. Proposed target image classification method is based on the mixture of experts model which consists of RBF-type experts and MLP-type gating networks. Mixture of experts model is well-suited with ATR system because it should recognizee various targets in complexed feature space by variously mixed conditions. In proposed classification method, one expert takes charge of one cluster and the separated structure with experts reduces the complexity of feature space and achieves more accurate local discrimination between classes. Proposed feature extraction and classification method showed distinguished performances in recognition test with customized. FLIR-vehicle-image database. Expecially robustness to pixelwise sensor noise and un-wanted intensity variations was verified by simulation.

Angle III급 부정교합자의 악안면골격 특성에 관한 연구 (STUDY ON THE CHARACTERISTICS OF CRANIOFACIAL SKELETON OF ANGLE'S CLASS III MALOCCLUSION CASES)

  • 유영재;차경석
    • 대한치과교정학회지
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    • 제21권2호
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    • pp.457-468
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    • 1991
  • This investigation was designed to categorize Angle's class III malocclusion groups through analyzing horizontal and vertical components of craniofacial skeleton in Angle's class III malocclusion. The material selected for this study consisted in standard lateral cephalogram of one hundred and fifty five children, seventy four boys and eighty one girls, aged 6 through 15 years, having Angle's class III malocclusion. On the basis of findings of this study, the following results were obtained. 1. In horizontal skeletal classifications,16 groups were classified FMN-A-B, SE-FMN-A according to the Ba-SE-Me, Ba-SE/R. 2. The sequences that have relatively high frequency are as follow; a) Horizontal Group l b) Horizontal Group 3 c) Horizontal Group 5 d) Horizontal Group 9 e) Horizontal Group 4 3. In vertical skeletal classification, 8 groups were classified according to the PMV/PP, PMV/OP, PMV/MP. 4. The sequences that relatively high are as follows; a) Vertical Group 1 b) Vertical Group 3 c) Vertical Group 4 d) Vertical Group 8.

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성인 심방중격결손증의 수술교정 (Surgical Correction of Atrial Septal Defect in Adult)

  • 이광선
    • Journal of Chest Surgery
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    • 제28권9호
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    • pp.811-816
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    • 1995
  • Repairs of atrial septal defect utilizing cardiopulmonary bypass were performed in 50 adults, ranging age from 16 to 53 years, since April 1986 up to October 1994. They occupied 38.8% of all adult congenital heart disease operated in the same period. Preoperatively, 16 patients were functional class II, 12 patients class III and 4 patients class IV[New York Heart Association Classification , respectively. Five patients combined with atrial fibrillation and the remainders revealed regular sinus rhythm. Cardiac catheterizations were performed in 43 out of 50 patients, and revealed a systolic pulmonary arterial pressure in excess of 51 mmHg in 4 patients but none had reversed shunt. 40 patients[80% were repaired with patch closure and remainings were repaired with direct closure. 49 patients were followed up for 2 months up to 102 months[average 55 months . A comparison of the preoperative and postoperative functional class demonstrated a mean decrease of one NYHA functional level[2.5$\pm$0.63 to 1.4$\pm$0.56 . There was no operative mortality. One patient died during the follow-up period and the death was unrelated to heart disease. Operative treatment is indicated for repair of atrial septal defect with left to right shunt in the adult patient and a considerable clinical improvement can be anticipitated with low mortality.

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개방성 승모판 교련 절제술의 장기 성적 (Long Term Results of Open Mitral Commissurotomy)

  • 김효윤
    • Journal of Chest Surgery
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    • 제26권7호
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    • pp.521-525
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    • 1993
  • Sixty-three patients who underwent open mitral commissurotomy at Sejong General Hospital during last 10 years from the August, 1983 to June, 1993 were reviewed There were fifty-one women and twelve men, and the mean age was 34.2 years. According to the NYHA classification, the distribution of patient preoperatively was as follows: class I, 5 patients ; class II, 26 patients ; class III, 30 patients ; class IV, 2 patients, and mean duration of symptome was 4.5 years. The mean mitral valvular area measured with echocardiogram preoperatively was 0.92cm2. All patients underwent open mitral commissurotomy and 41 patients required additional procedures for relief of subvalvular stenosis or other valvular disease. There were no operative death. 63 patients had three different types of mitral stenosis : type I, mobile cusps without subvalvular change [21 patients] ; typeII, thickened cusps with subvalvular change [34 patients] ; type III, rigid cusps with severe subvalvular change [8 patients]. The valvular calcification was seen in 11 patients [17%] and 15 patients [24%] had left atrial thrombus. The duration of follow-up was from 1 month to 168 months [mean, 39.6 months] and there were no late death. Six patients required reoperation and one patient had embolic episode. Conclusively,the open mitral commissurotomy represents a safe surgical precedure for treating mitral stenosis, allowing a complete removal of atrial thrombosis if present, and even when associated with subvalvular changes.

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약물군-약물군 조합으로 도출한 약력학적 기전의 추가 병용금기성분 (Pharmacodynamic Drug-Drug Interactions Considered to be Added in the List of Contraindications with Pharmacological Classification in Korea)

  • 제남경;김동숙;김주연;이숙향
    • 한국임상약학회지
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    • 제25권2호
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    • pp.120-129
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    • 2015
  • Objectives: Drug utilization review program in Korea has provided 'drug combinations to avoid (DCA)' alerts to physicians and pharmacists to prevent potential adverse drug events or inappropriate drug use. Seven hundred and six DCA pairs have been announced officially by the Ministry of Food and Drug Safety (MFDS) by March, 2015. Some DCA pairs could be grouped based on the drug interaction mechanism and its consequences. This study aimed to investigate the drug-drug interaction (DDI) pairs, which may be potential DCAs, generated by the drug class-drug class interaction method. Methods: Eleven additive/synergistic and one antagonistic drug class-drug class interaction groups were identified. By combining drugs of two interacting drug class groups, numerous DDI pairs were made. The status and severity of DDI pairs were examined using Lexicomp and Micromedex. Also, the DCA listing rate was calculated. Results: Among 258 DDI pairs generated by the drug class-drug class interaction method, only 142 pairs were identified as official DCA pairs by the MFDS. One hundred and four pairs were identified as potential DCA pairs to be listed. QT prolonging agents-QT prolonging agents, triptans-ergot alkaloids, tricyclic antidepressants-monoamine oxidase inhibitors, and dopamine agonists-dopamine antagonists were identified as drug class-drug class interaction groups which have less than 50 % DCA listing rate. Conclusion: To improve the clinicians' adaptability to DCA alerts, the list of DCA pairs needs to be continuously updated.

A Novel Feature Selection Method in the Categorization of Imbalanced Textual Data

  • Pouramini, Jafar;Minaei-Bidgoli, Behrouze;Esmaeili, Mahdi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권8호
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    • pp.3725-3748
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    • 2018
  • Text data distribution is often imbalanced. Imbalanced data is one of the challenges in text classification, as it leads to the loss of performance of classifiers. Many studies have been conducted so far in this regard. The proposed solutions are divided into several general categories, include sampling-based and algorithm-based methods. In recent studies, feature selection has also been considered as one of the solutions for the imbalance problem. In this paper, a novel one-sided feature selection known as probabilistic feature selection (PFS) was presented for imbalanced text classification. The PFS is a probabilistic method that is calculated using feature distribution. Compared to the similar methods, the PFS has more parameters. In order to evaluate the performance of the proposed method, the feature selection methods including Gini, MI, FAST and DFS were implemented. To assess the proposed method, the decision tree classifications such as C4.5 and Naive Bayes were used. The results of tests on Reuters-21875 and WebKB figures per F-measure suggested that the proposed feature selection has significantly improved the performance of the classifiers.

데이터 예측 클래스 기반 적대적 공격 탐지 및 분류 모델 (Adversarial Example Detection and Classification Model Based on the Class Predicted by Deep Learning Model)

  • 고은나래;문종섭
    • 정보보호학회논문지
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    • 제31권6호
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    • pp.1227-1236
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    • 2021
  • 딥러닝 분류 모델에 대한 공격 중 하나인 적대적 공격은 입력 데이터에 인간이 구별할 수 없는 섭동을 추가하여 딥러닝 분류 모델이 잘못 분류하도록 만드는 공격이며, 다양한 적대적 공격 알고리즘이 존재한다. 이에 따라 적대적 데이터를 탐지하는 연구는 많이 진행되었으나 적대적 데이터가 어떤 적대적 공격 알고리즘에 의해 생성되었는지 분류하는 연구는 매우 적게 진행되었다. 적대적 공격을 분류할 수 있다면, 공격 간의 차이를 분석하여 더욱 견고한 딥러닝 분류 모델을 구축할 수 있을 것이다. 본 논문에서는 공격 대상 딥러닝 모델이 예측하는 클래스를 기반으로 은닉층의 출력값에서 특징을 추출하고 추출된 특징을 입력으로 하는 랜덤 포레스트 분류 모델을 구축하여 적대적 공격을 탐지 및 분류하는 모델을 제안한다. 실험 결과 제안한 모델은 최신의 적대적 공격 탐지 및 분류 모델보다 정상 데이터의 경우 3.02%, 적대적 데이터의 경우 0.80% 높은 정확도를 보였으며, 기존 연구에서 분류하지 않았던 새로운 공격을 분류한다.