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ICASSP
2011
IEEE
14 years 11 months ago
A visual attention model combining top-down and bottom-up mechanisms for salient object detection
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
Yuming Fang, Weisi Lin, Chiew Tong Lau, Bu-Sung Le...
ICASSP
2011
IEEE
14 years 11 months ago
Increasing discriminative capability on MAP-based mapping function estimation for acoustic model adaptation
In this study, we propose increasing discriminative power on the maximum a posteriori (MAP)-based mapping function estimation for acoustic model adaptation. Based on the effective...
Yu Tsao, Ryosuke Isotani, Hisashi Kawai, Satoshi N...
AAAI
2012
13 years 10 months ago
Non-Intrusive Load Monitoring Using Prior Models of General Appliance Types
Non-intrusive appliance load monitoring is the process of disaggregating a household’s total electricity consumption into its contributing appliances. In this paper we propose a...
Oliver Parson, Siddhartha Ghosh, Mark Weal, Alex R...
ICIP
2008
IEEE
16 years 9 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
ICIP
2007
IEEE
16 years 9 months ago
A New Descriptor for 2D Depth Image Indexing and 3D Model Retrieval
We present here a new descriptor for depth images adapted to 2D/3D model matching and retrieving. We propose a representation of a 3D model by 20 depth images rendered from the ve...
Mohamed Chaouch, Anne Verroust-Blondet