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ICML
2008
IEEE
16 years 20 days ago
Adaptive p-posterior mixture-model kernels for multiple instance learning
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
Hua-Yan Wang, Qiang Yang, Hongbin Zha
STAIRS
2008
143views Education» more  STAIRS 2008»
15 years 1 months ago
Domain-Dependent View of Multiple Robots Path Planning
We study a problem of path planning for a group of robots in this paper. The problem is stated as a finding of spatial-temporal paths through which the robots can go from their ini...
Pavel Surynek
TASLP
2010
141views more  TASLP 2010»
14 years 6 months ago
Adaptive Harmonic Spectral Decomposition for Multiple Pitch Estimation
Multiple pitch estimation consists of estimating the fundamental frequencies and saliences of pitched sounds over short time frames of an audio signal. This task forms the basis of...
Emmanuel Vincent, Nancy Bertin, Roland Badeau
ICPR
2004
IEEE
16 years 29 days ago
Novel Seed Selection for Multiple Objects Detection and Tracking
This paper proposes a unified approach for initializing, detecting and tracking of multiple moving objects. Object initialization is achieved through novel seed selection which is...
Chong-Wah Ngo, Zailiang Pan
ICMCS
2007
IEEE
173views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Tracking Multiple Objects using Probability Hypothesis Density Filter and Color Measurements
Most methods for multiple object tracking in video represent the state of multi-objects in a high dimensional joint state space. This leads to high computational complexity. This ...
Nam Trung Pham, Weimin Huang, Sim Heng Ong