807 search results - page 10 / 162 » Learning with Probabilistic Features for Improved Pipeline M... |
DATE
2006
IEEE
13 years 11 months ago
2006
IEEE
We introduce collapsed flushing, a new flushing-based refinement map for automatically verifying safety and liveness properties of term-level pipelined machine models. We also pre...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
VLSISP
2010
13 years 5 months ago
2010
In this paper we describe a multi-strategy approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple fe...
ICMLA
2009
13 years 5 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...