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—A large number of algorithms have been proposed for feature subset selection. Our experimental results show that the sequential forward floating selection (SFFS) algorithm, proposed by Pudil et al., dominates the other algorithms tested. We study the problem of choosing an optimal feature set for land use classification based on SAR satellite images using(More)
We are interested in restoring a degraded scene while preserving the edges. Edges are represented as line pr& cesses and are estimated along with the intensities in a Maximum A Posien'ori (MAP) framework. Aasumptions regarding the prior and degradation distributions reduce the problem to one of energy function minimization. The energy function is highly(More)
In this paper we describe a holistic face recognition method based on subspace Linear Discrimi-nant Analysis (LDA). The method consists of two steps: rst we project the face image from the original vector space to a face subspace via Principal Component Analysis where the subspace dimension is carefully chosen, and then use LDA to obtain a linear classiier(More)
A method for computing optical flow using a neural network is presented. Usually, the measurement primitives used for computing optical flow from successive image frames are the image-intensity values and their spatial and temporal derivatives, and tokens such as edges, corners, and linear features. Conventional methods based on such primitives suffer from(More)
Motion capture has important applications in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods use passive markers that are attached to different body parts of the subject and are therefore intrusive in nature. In applications such as pathological human movement analysis, these markers(More)
Motion stereo infers depth information from a sequence of image frames. Both batch and recursive neural network algorithms for motion stereo are presented. A discrete neural network is used for representing the disparity field. The batch algorithm first integrates information from all images by embedding them into the bias inputs of the network. Matching is(More)
One of the requirements for seamless mobility is efficient resource reservation and context transfer procedures during handoff. If context transfer and resource reservation can occur prior to handoff continuation of the same level of service as at the previous connection point is possible. Resource reservation is required to be non-aggressive for optimal(More)
For high dimensional pattern recognition problems, the learning speed of gradient based training algorithms (back-propagation) is generally very slow. Local minimum, improper learning rate and over-fitting are some of the other issues. Extreme learning machine was proposed as a non-iterative learning algorithm for single-hidden layer feed forward neural(More)