995 search results - page 161 / 199 » Learning for Sequence Extraction Tasks |
ICML
1999
IEEE
14 years 9 months ago
1999
IEEE
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
ISBI
2009
IEEE
14 years 3 months ago
2009
IEEE
This study develops a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We present and evaluate t...
KCAP
2005
ACM
14 years 2 months ago
2005
ACM
Extensive and deep paraphrase corpora are important for a variety of natural language processing and user interaction tasks. In this paper, we present an approach which i) collect...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
SIGKDD
2000
13 years 8 months ago
2000
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....