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NIPS
2007
15 years 8 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
IIS
2003
15 years 8 months ago
Ontology-based Text Document Clustering
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
Steffen Staab, Andreas Hotho
JCLC
2006
73views more  JCLC 2006»
15 years 6 months ago
A Unit Selection-based Speech Synthesis Approach for Mandarin Chinese
The paper presents a unit selection-based speech synthesis approach for mandarin Chinese. Unit selection-based approach generates speech by selecting proper units from a speech co...
Minghui Dong, Kim-Teng Lua, Haizhou Li
SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
16 years 13 days ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
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IJCAI
2007
15 years 8 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...