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FLAIRS
2000
15 years 3 months ago
Independence Semantics for BKBs
Bayesian KnowledgeBases (BKB)are a rule-based probabilistic modelthat extend BayesNetworks(BN), by allowing context-sensitive independenceand cycles in the directed graph. BKBshav...
Solomon Eyal Shimony, Eugene Santos Jr., Tzachi Ro...
MM
2004
ACM
133views Multimedia» more  MM 2004»
15 years 8 months ago
Interactive retrieval of 3D shape models using physical objects
We present a novel method for interactive retrieval of 3D shapes using physical objects. Our method is based on simple physical 3D interaction with a set of tangible blocks. As th...
Hiroyasu Ichida, Yuichi Itoh, Yoshifumi Kitamura, ...
ICASSP
2010
IEEE
15 years 2 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
141
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MM
2009
ACM
269views Multimedia» more  MM 2009»
15 years 9 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
TASLP
2002
86views more  TASLP 2002»
15 years 2 months ago
High-level approaches to confidence estimation in speech recognition
Abstract--We describe some high-level approaches to estimating confidence scores for the words output by a speech recognizer. By "high-level" we mean that the proposed me...
Stephen Cox, Srinandan Dasmahapatra