Prabir Bhattacharya

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A content-based image retrieval (CBIR) framework for diverse collection of medical images of different imaging modalities, anatomic regions with different orientations and biological systems is proposed. Organization of images in such a database (DB) is well defined with predefined semantic categories; hence, it can be useful for category-specific(More)
Given a group S, we consider fuzzy relations on S, that is, maps from S X S into [O,l]. Of particular interest is to investigate conditions under which the fuzzy refation becomes a fuzzy subgroup on S x S. We prove that if G is a fuzzy subset of S and ps is the strongest fuzzy relation on S that is a fuzzy relation on (I, then p0 is a fuzzy subgroup if and(More)
We present a content-based image retrieval framework for diverse collections of medical images of different modalities, anatomical regions, acquisition views, and biological systems. For the image representation, the probabilistic output from multi-class support vector machines (SVMs) with low-level features as inputs are represented as a vector of(More)
We propose a driver fatigue recognition model based on the dynamic Bayesian network, information fusion and multiple contextual and physiological features. We include features such as the contact physiological features (e.g., ECG and EEG), and apply the first-order Hidden Markov Model to compute the dynamics of the Bayesian network at different time slices.(More)
In this paper, we study leader election in the presence of selfish nodes for intrusion detection in mobile ad hoc networks (MANETs). To balance the resource consumption among all nodes and prolong the lifetime of an MANET, nodes with the most remaining resources should be elected as the leaders. However, there are two main obstacles in achieving this goal.(More)
This paper presents an automatic technique for detecting the 18-most important facial feature points using a statistically developed anthropometric face model. Most of the important facial feature points are located just about the area of mouth, nose, eyes and eyebrows. After carefully observing the structural symmetry of human face and performing necessary(More)
In this paper, we address the problem of increasing the effectiveness of an intrusion detection system (IDS) for a cluster of nodes in ad hoc networks. To reduce the performance overhead of the IDS, a leader node is usually elected to handle the intrusion detection service on behalf of the whole cluster. However, most current solutions elect a leader(More)