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NIPS
2007
15 years 9 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 9 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 7 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 1 months 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...
IJCAI
2007
15 years 9 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...