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» Exploiting nonstationarity for performance prediction
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ICASSP
2009
IEEE
15 years 1 months ago
Optimized opportunistic multicast scheduling (OMS) over heterogeneous cellular networks
Optimized opportunistic multicast scheduling (OMS) has been studied previously by the authors for homogeneous cellular networks, where the problem of efficiently transmitting a co...
Tze-Ping Low, Man-On Pun, Yao-Win Peter Hong, C.-C...
CIVR
2008
Springer
245views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Probabilistic optimized ranking for multimedia semantic concept detection via RVM
We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. Most existing concept detection systems utilize ...
Yantao Zheng, Shi-Yong Neo, Tat-Seng Chua, Qi Tian
NIPS
2003
14 years 11 months ago
Boosting versus Covering
We investigate improvements of AdaBoost that can exploit the fact that the weak hypotheses are one-sided, i.e. either all its positive (or negative) predictions are correct. In pa...
Kohei Hatano, Manfred K. Warmuth
WWW
2010
ACM
14 years 9 months ago
Cross-domain sentiment classification via spectral feature alignment
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qian...
BMCBI
2010
152views more  BMCBI 2010»
14 years 9 months ago
A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry
Background: High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflo...
Chongle Pan, Byung-Hoon Park, William H. McDonald,...