Architectural style classification differs from standard classification tasks due to the rich inter-class relationships between different styles, such as re-interpretation, revival, and territoriality. In this paper, we adopt Deformable Part-based Models (DPM) to capture the morphological characteristics of basic architectural components and propose Multinomial Latent Logistic Regression (MLLR)...

This paper demonstrates that personal identity authentication through comparison of high level features of iris is very effective. The success of a biometric recognition system depends heavily on its feature representation model for biometric patterns. Accomplishing sensitivity to inter-class differences and at the same time robustness against intra-class variations is very difficult. Many biom...

In hierarchical classification, class label is structured in that each label value corresponds to one non-root node in a tree, where the inter-class relationship for classification is specified by directed paths of the tree. In such a situation, the focus has been on how to leverage the inter-class relationship to enhance the performance of flat classification ignoring such dependency. This is ...

This paper presents a Markov arrival process (MAP) based methodology for the analysis of two-class queueing networks with priority service nodes. We apply the multi-class extension of MAP, referred to as Marked MAP (MMAP), for the description of the input and internal traffic in the queueing network. The MMAP traffic description allows to capture not only the dependency structure of the traffic...

OBJECTIVES To define the role of bypass surgery and percutaneous transluminal angioplasty to manage critical limb ischaemia due to infrainguinal arterial occlusive disease. DESIGN Retrospective review. SETTING Regional hospital, Hong Kong. PATIENTS Consecutive patients treated for critical limb ischaemia, for whom data were prospectively collected in those who underwent: (i) infrainguinal...

BACKGROUND The DecisionDx-Melanoma test provides prognostic information for patients with cutaneous melanoma (CM). Using formalin-fixed paraffin-embedded primary tumor tissue, the RT-PCR-based test classifies patients into a low- (Class 1) or high-risk (Class 2) category for recurrence based on expression of 31 genes. The current study was designed to assess the analytical validity of this test...

Pattern recognition is a machine learning process that emphasizes on the various discontinuities in data. It can also be stated as how machines differentiate the region of interest from the background. This is initially done by the classification of patterns either into supervised or unsupervised class based on the similarity or system designer. A well defined recognition system will have less ...

This paper presents an investigation into the classification of a difficult data set containing large intra-class variability but low inter-class variability. Standard classifiers are weak and fail to achieve satisfactory results however, it is proposed that a combination of such weak classifiers can improve overall performance. The paper also introduces a novel evolutionary approach to fuzzy r...

Most biometric systems deployed in real-world applications are unimodal. Using unimodal biometric systems have to contend with a variety of problems such as: Noise in sensed data; Intra-class variations; Inter-class similarities; Nonuniversality; Spoof attacks. These problems have addressed by using multibiometric systems, which expected to be more reliable due to the presence of multiple, inde...

Maximum margin classifiers such as Support Vector Machines (SVMs) critically depends upon the convex hulls of the training samples of each class, as they implicitly search for the minimum distance between the convex hulls . We propose Extrapolated Vector Machines (XVMs) which rely on extrapolations outside these convex hulls. XVMs improve SVM generalization very significantly on the MNIST [7] O...