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CVPR
2009
IEEE
16 years 4 months ago
Stochastic Gradient Kernel Density Mode-Seeking
As a well known fixed-point iteration algorithm for kernel density mode-seeking, Mean-Shift has attracted wide attention in pattern recognition field. To date, Mean-Shift algorit...
Xiaotong Yuan, Stan Z. Li
CVPR
2000
IEEE
15 years 11 months ago
A Robust and Efficient Motion Segmentation Based on Orthogonal Projection Matrix of Shape Space
A novel algorithm for motion segmentation is proposed. The algorithm uses the fact that shape of an object with homogeneous motion is represented as 4 dimensional linear space. Th...
Naoyuki Ichimura
75
Voted
INFOCOM
2003
IEEE
15 years 2 months ago
Statistical Per-Flow Service Bounds in a Network with Aggregate Provisioning
Abstract— Scalability concerns of QoS implementations have stipulated service architectures where QoS is not provisioned separately to each flow, but instead to aggregates of ï¬...
Jörg Liebeherr, Stephen D. Patek, Almut Burch...
78
Voted
MP
2006
103views more  MP 2006»
14 years 9 months ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton
79
Voted
VOSS
2004
Springer
118views Mathematics» more  VOSS 2004»
15 years 3 months ago
Serial Disk-based Analysis of Large Stochastic Models
Abstract. The paper presents a survey of out-of-core methods available for the analysis of large Markov chains on single workstations. First, we discuss the main sparse matrix stor...
Rashid Mehmood