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ICIP
2005
IEEE
14 years 10 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
AUSAI
2008
Springer
13 years 11 months ago
Learning Object Representations Using Sequential Patterns
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Nobuyuki Morioka
TASLP
2010
132views more  TASLP 2010»
13 years 3 months ago
Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization
Sound source localization (SSL) is an essential task in many applications involving speech capture and enhancement. As such, speaker localization with microphone arrays has receive...
Flavio Ribeiro, Cha Zhang, Dinei A. F. Florê...
CVPR
2008
IEEE
14 years 11 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
CGF
2006
136views more  CGF 2006»
13 years 9 months ago
Cache-Efficient Layouts of Bounding Volume Hierarchies
We present a novel algorithm to compute cache-efficient layouts of bounding volume hierarchies (BVHs) of polygonal models. Our approach does not make any assumptions about the cac...
Sung-Eui Yoon, Dinesh Manocha