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This paper presents a model based on Hierarchical Dirichlet Process (HDP), that automatically captures the evolutionary thematic patterns in texts. Our approach allows HDP to work in an online fashion, such that it can build an up-to-date model for new documents given the old model, without accessing historic data. Since exact calculation is infeasible, we turn to Gibbs sampling to carry out approximate...
In this paper, we propose a fast, simple and efficient image codec applicable for embedded processing systems. Among the existing image coding methods, wavelet quad-tree is a foundation leading to an efficient structure to encode images. By searching significant coefficients along quadtrees, an embedded efficient code can be obtained. In this work, we exploit hierarchical relations of the quad-tree...
The generation of sequential responses is a fundamental aspect of cognitive function, encompassing processes such as motor control, linguistic expression, memory recall and thought itself. There is considerable evidence that complex cognitive responses (such as voluntary actions) are constructed as chunked sequences of more elementary response primitives or synergies, which can themselves be seen...
A new method for reduction of computation and memory bandwidth for embedded large vocabulary continuous speech recognition is presented. During the Hidden Markov model state likelihood computation, scores for selected context-dependent (triphone) model states are computed for several frames in advance. Scores that are subsequently needed for Viterbi search but not found in the buffer are replaced...
A trained neural network can be used for high-level design, providing fast and accurate answers to the task it has learned. Neural networks are effective alternatives to conventional methods such as statistical and stochastic modeling methods, which could be computationally expensive, or analytical methods which could be difficult to obtain for new environments, or empirical modeling solutions whose...
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