1410 search results - page 219 / 282 » Learning to localize detected objects |
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
IDA
2002
Springer
13 years 7 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
ICS
1999
Tsinghua U.
13 years 12 months ago
1999
Tsinghua U.
This paper presents a technique, adaptive replication, for automatically eliminating synchronization bottlenecks in multithreaded programs that perform atomic operations on object...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...