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» Surrogate data: A novel approach to object detection
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ICAT
2003
IEEE
15 years 11 months ago
Extracting Rheological Properties of Deformable Objects with Haptic Vision
In this paper, we propose a novel approach to extracting rheological properties of deformable objects based on Haptic vision, which was proposed for vision-based automatic constru...
Naoki Ueda, Kiyotaka Kushihama, Shin-iti Hirai, Hi...
CVPR
2008
IEEE
16 years 8 months ago
Object categorization using co-occurrence, location and appearance
In this work we introduce a novel approach to object categorization that incorporates two types of context ? cooccurrence and relative location ? with local appearancebased featur...
Carolina Galleguillos, Andrew Rabinovich, Serge Be...
PAMI
2010
146views more  PAMI 2010»
15 years 1 months ago
A Hierarchical Visual Model for Video Object Summarization
We propose a novel method for removing irrelevant frames from a video given user-provided frame-level labeling for a very small number of frames. We first hypothesize a number of w...
David Liu, Gang Hua, Tsuhan Chen
ASPLOS
2010
ACM
16 years 1 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
FMOODS
2008
15 years 7 months ago
Symbolic Step Encodings for Object Based Communicating State Machines
In this work, novel symbolic step encodings of the transition relation for object based communicating state machines are presented. This class of systems is tailored to capture the...
Jori Dubrovin, Tommi A. Junttila, Keijo Heljanko