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The relevance feedback approach to image retrieval is a powerful technique and has been an active research direction for the past few years. Various ad hoc parameter estimation techniques have been proposed for relevance feedback. In addition, methods that perform optimization on multi-level image content model have been formulated. However, these methods(More)
As an increasing number of users access information on the web, there is a great opportunity to learn from the server logs to learn about the users' probable actions in the future. In this paper, we present an n-gram based model to utilize path profiles of users from very large data sets to predict the users' future requests. Since this is a prediction(More)
—Aggressive MOS transistor size scaling substantially increase the probability of faults in NoC links due to manufacturing defects, process variations, and chip wire-out effects. Strategies have been proposed to tolerate faulty wires by replacing them with spare ones or by partially using the defective links. However, these strategies either suffer from(More)
One of the hallmarks of the pathology in Alzheimer's disease is the deposition of amyloid plaques throughout the brain, especially within the hippocampus and amygdala. Transgenic mice that overexpress the Swedish mutation of human amyloid precursor protein (hAPPswe; Tg2576) show age-dependent memory deficits in hippocampus-dependent learning tasks. However,(More)
—Relevance feedback is a powerful technique for image retrieval and has been an active research direction for the past few years. Various ad hoc parameter estimation techniques have been proposed for relevance feedback. In addition, methods that perform optimization on multilevel image content model have been formulated. However, these methods only perform(More)
An algorithm is given to compute the real points of the irreducible one-dimensional complex components of the solution sets of systems of polynomials with real coefficients. The algorithm is based on homo-topy continuation and the numerical irreducible decomposition. An extended application is made to Griffis-Duffy platforms, a class of Stewart-Gough(More)
—The task of recovering three-dimensional (3-D) geometry from two-dimensional views of a scene is called 3-D reconstruction. It is an extremely active research area in computer vision. There is a large body of 3-D reconstruction algorithms available in the literature. These algorithms are often designed to provide different tradeoffs between speed,(More)
A lysosomal phospholipase A2, LPLA2, was recently characterized and shown to have substrate specificity for phosphatidylcholine and phosphatidylethanolamine. LPLA2 is ubiquitously expressed but is most highly expressed in alveolar macrophages. Double conditional gene targeting was employed to elucidate the function of LPLA2. LPLA2-deficient mice (Lpla2-/-)(More)
This paper addresses the problem of intelligently extracting objects from videos. Our method assumes that the video making process is purposive and attempts to extract those objects that the original authors of the videos intended to capture. We accomplish this by analyzing three types of actions of the author (saccadic movements, smooth pursuits, and(More)