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ICCV
2005
IEEE
15 years 6 months ago
Closely Coupled Object Detection and Segmentation
We propose a closely coupled object detection and segmentation algorithm for enhancing both processes in a cooperative and iterative manner. Figure-ground segmentation reduces the...
Liang Zhao, Larry S. Davis
202
Voted
ICDE
2007
IEEE
109views Database» more  ICDE 2007»
16 years 2 months ago
Evaluating Proximity Relations Under Uncertainty
For location-based services it is often essential to efficiently process proximity relations among mobile objects, such as to establish whether a group of friends or family member...
Zhengdao Xu, Hans-Arno Jacobsen
89
Voted
PAKDD
2004
ACM
100views Data Mining» more  PAKDD 2004»
15 years 6 months ago
Using Self-Consistent Naive-Bayes to Detect Masquerades
To gain access to account privileges, an intruder masquerades as the proper account user. This paper proposes a new strategy for detecting masquerades in a multiuser system. To det...
Kwong H. Yung
NIPS
2001
15 years 2 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 1 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...