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99
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ICPR
2010
IEEE
15 years 3 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
85
Voted
ICIP
2002
IEEE
16 years 2 months ago
A no-reference perceptual blur metric
In this paper, we present a no-reference blur metric for images and video. The blur metric is based on the analysis of the spread of the edges in an image. Its perceptual signific...
Frédéric Dufaux, Pina Marziliano, St...
111
Voted
ISCA
2007
IEEE
146views Hardware» more  ISCA 2007»
15 years 7 months ago
Hardware atomicity for reliable software speculation
Speculative compiler optimizations are effective in improving both single-thread performance and reducing power consumption, but their implementation introduces significant compl...
Naveen Neelakantam, Ravi Rajwar, Suresh Srinivas, ...
104
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CLEF
2007
Springer
15 years 7 months ago
Speeding Up IDM without Degradation of Retrieval Quality
The Image Distortion Model (IDM) has shown good retrieval quality in previous runs of the medical automatic annotation task of previous ImageCLEF workshops. However, one of its li...
Michael Springmann, Heiko Schuldt
TASLP
2002
93views more  TASLP 2002»
15 years 14 days ago
Robust endpoint detection and energy normalization for real-time speech and speaker recognition
When automatic speech recognition (ASR) and speaker verification (SV) are applied in adverse acoustic environments, endpoint detection and energy normalization can be crucial to th...
Qi Li, Jinsong Zheng, A. Tsai, Qiru Zhou