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TCBB
2010
91views more  TCBB 2010»
13 years 3 months ago
SCS: Signal, Context, and Structure Features for Genome-Wide Human Promoter Recognition
This paper integrates the signal, context and structure features for genome-wide promoter recognition, which is critical in many DNA sequence analysis tasks. First, CpG islands ar...
Jia Zeng, Xiaoyu Zhao, Xiao-Qin Cao, Hong Yan
FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
13 years 13 days ago
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
David D. Cox, Nicolas Pinto
CVPR
2011
IEEE
13 years 12 days ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
ICASSP
2011
IEEE
13 years 12 days ago
Sparse common spatial patterns in brain computer interface applications
The Common Spatial Pattern (CSP) method is a powerful technique for feature extraction from multichannel neural activity and widely used in brain computer interface (BCI) applicat...
Fikri Goksu, Nuri Firat Ince, Ahmed H. Tewfik
ICASSP
2011
IEEE
13 years 12 days ago
A new speaker identification algorithm for gaming scenarios
Speaker identification is a well-established research problem but has not been a major application used in gaming scenarios. In this paper, we propose a new algorithm for the ope...
Hoang Do, Ivan Tashev, Alex Acero