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85
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JMLR
2010
165views more  JMLR 2010»
14 years 5 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
96
Voted
CVPR
2004
IEEE
16 years 8 days ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ICDE
2007
IEEE
113views Database» more  ICDE 2007»
15 years 11 months ago
A Lightweight Online Framework For Query Progress Indicators
Recently there has been increasing interest in the development of progress indicators for SQL queries. In this paper we present a lightweight online framework for this problem. Ou...
Chaitanya Mishra, Nick Koudas
DAC
2004
ACM
15 years 11 months ago
Retargetable profiling for rapid, early system-level design space exploration
Fast and accurate estimation is critical for exploration of any dece in general. As we move to higher levels of abstraction, on of complete system designs at each level of abstrac...
Lukai Cai, Andreas Gerstlauer, Daniel Gajski
IPMI
1999
Springer
15 years 11 months ago
Continuous Time Dynamic PET Imaging Using List Mode Data
Abstract. We describe a method for computing a continuous time estimate of dynamic changes in tracer density using list mode PET data. The tracer density in each voxel is modeled a...
Thomas E. Nichols, Jinyi Qi, Richard M. Leahy