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CVPR
2003
IEEE
16 years 8 months ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
HPCA
2002
IEEE
16 years 6 months ago
Using Complete Machine Simulation for Software Power Estimation: The SoftWatt Approach
Power dissipation has become one of the most critical factors for the continued development of both high-end and low-end computer systems. The successful design and evaluation of ...
Sudhanva Gurumurthi, Anand Sivasubramaniam, Mary J...
SIGGRAPH
2000
ACM
15 years 10 months ago
Style machines
We approach the problem of stylistic motion synthesis by learning motion patterns from a highly varied set of motion capture sequences. Each sequence may have a distinct choreogra...
Matthew Brand, Aaron Hertzmann
255
Voted
VLSISP
2011
358views Database» more  VLSISP 2011»
15 years 1 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
TON
2010
167views more  TON 2010»
15 years 25 days ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...