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ICML
2007
IEEE
16 years 1 months ago
Hierarchical maximum entropy density estimation
We study the problem of simultaneously estimating several densities where the datasets are organized into overlapping groups, such as a hierarchy. For this problem, we propose a m...
David M. Blei, Miroslav Dudík, Robert E. Sc...
112
Voted
FCCM
2009
IEEE
139views VLSI» more  FCCM 2009»
14 years 10 months ago
Memory-Efficient Pipelined Architecture for Large-Scale String Matching
We propose a pipelined field-merge architecture for memory-efficient and high-throughput large-scale string matching (LSSM). Our proposed architecture partitions the (8-bit) charac...
Yi-Hua Edward Yang, Viktor K. Prasanna
99
Voted
IACR
2011
94views more  IACR 2011»
14 years 8 days ago
Secure Computation with Sublinear Amortized Work
Traditional approaches to secure computation begin by representing the function f being computed as a circuit. For any function f that depends on each of its inputs, this implies ...
S. Dov Gordon, Jonathan Katz, Vladimir Kolesnikov,...
91
Voted
EMNLP
2010
14 years 10 months ago
Learning the Relative Usefulness of Questions in Community QA
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered referenc...
Razvan C. Bunescu, Yunfeng Huang
DAGM
2009
Springer
15 years 7 months ago
Pedestrian Detection by Probabilistic Component Assembly
We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso a...
Martin Rapus, Stefan Munder, Gregory Baratoff, Joa...