259 search results - page 36 / 52 » Business Process Learning for Real Time Enterprises |
135
click to vote
ICASSP
2010
IEEE
15 years 24 days ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
136
Voted
MICAI
2005
Springer
15 years 9 months ago
2005
Springer
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
123
click to vote
ECCV
2008
Springer
16 years 5 months ago
2008
Springer
In this paper, we address the problem of 3D articulated multi-person tracking in busy street scenes from a moving, human-level observer. In order to handle the complexity of multi-...
140
Voted
ML
2010
ACM
14 years 10 months ago
2010
ACM
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
134
Voted
BROADNETS
2005
IEEE
15 years 9 months ago
2005
IEEE
Abstract— This paper provides a concise modeling and performance evaluation of the iSCSI storage area network (SAN) architecture and protocol. SANs play a key role in business co...