995 search results - page 119 / 199 » Learning Useful Horn Approximations |
150
Voted
CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
This paper deals with estimation of dense optical flow
and ego-motion in a generalized imaging system by exploiting
probabilistic linear subspace constraints on the flow.
We dea...
125
click to vote
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...
126
Voted
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
145
Voted
TON
2010
14 years 7 months ago
2010
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...
106
Voted
ML
1998
ACM
15 years 11 days ago
1998
ACM
It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...