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COLT
2007
Springer
16 years 28 days ago
Learning Large-Alphabet and Analog Circuits with Value Injection Queries
Abstract. We consider the problem of learning an acyclic discrete circuit with n wires, fan-in bounded by k and alphabet size s using value injection queries. For the class of tran...
Dana Angluin, James Aspnes, Jiang Chen, Lev Reyzin
ECML
2007
Springer
16 years 28 days ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
16 years 24 days ago
Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object Recognition
We describe a part-based object-recognition framework, specialized to mining complex 3D objects from detailed 3D images. Objects are modeled as a collection of parts together with...
Frank DiMaio, Jude W. Shavlik
SIPS
2006
IEEE
16 years 23 days ago
Configuration and Representation of Large-Scale Dataflow Graphs using the Dataflow Interchange Format
—A wide variety of DSP design tools have been developed that incorporate dataflow graph representations into their GUI-based design environments. However, as the complexity of ap...
Ivan Corretjer, Chia-Jui Hsu, Shuvra S. Bhattachar...
IAT
2005
IEEE
16 years 11 days ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu