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» Kernels and Regularization on Graphs
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AISC
2008
Springer
15 years 1 months ago
Extending Graphical Representations for Compact Closed Categories with Applications to Symbolic Quantum Computation
Graph-based formalisms of quantum computation provide an abstract and symbolic way to represent and simulate computations. However, manual manipulation of such graphs is slow and e...
Lucas Dixon, Ross Duncan
CVPR
2004
IEEE
16 years 1 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
CVPR
2007
IEEE
16 years 1 months ago
Concurrent Multiple Instance Learning for Image Categorization
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jin...
DAC
2005
ACM
16 years 24 days ago
Automatic generation of customized discrete fourier transform IPs
This paper presents a parameterized soft core generator for the discrete Fourier transform (DFT). Reusable IPs of digital signal processing (DSP) kernels are important time-saving...
Grace Nordin, Peter A. Milder, James C. Hoe, Marku...
MASCOTS
2004
15 years 1 months ago
Architecture Independent Performance Characterization and Benchmarking for Scientific Applications
A simple, tunable, synthetic benchmark with a performance directly related to applications would be of great benefit to the scientific computing community. In this paper, we prese...
Erich Strohmaier, Hongzhang Shan