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» Kernels for Semi-Structured Data
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CVPR
2005
IEEE
16 years 2 months ago
Restoration and Recognition in a Loop
In this paper we present a novel learning based method for restoring and recognizing images of digits that have been blurred using an unknown kernel. The novelty of our work is an...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
ECCV
2004
Springer
16 years 2 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
101
Voted
SIGIR
2009
ACM
15 years 7 months ago
Combining audio content and social context for semantic music discovery
When attempting to annotate music, it is important to consider both acoustic content and social context. This paper explores techniques for collecting and combining multiple sourc...
Douglas Turnbull, Luke Barrington, Gert R. G. Lanc...
105
Voted
IPPS
2005
IEEE
15 years 6 months ago
Designing Scalable FPGA-Based Reduction Circuits Using Pipelined Floating-Point Cores
The use of pipelined floating-point arithmetic cores to create high-performance FPGA-based computational kernels has introduced a new class of problems that do not exist when usi...
Ling Zhuo, Gerald R. Morris, Viktor K. Prasanna
HIPC
2005
Springer
15 years 6 months ago
Design and Implementation of the HPCS Graph Analysis Benchmark on Symmetric Multiprocessors
Graph theoretic problems are representative of fundamental computations in traditional and emerging scientific disciplines like scientific computing, computational biology and b...
David A. Bader, Kamesh Madduri