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» Predicting relative performance of classifiers from samples
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ISCAS
2002
IEEE
201views Hardware» more  ISCAS 2002»
14 years 1 months ago
FGS+: optimizing the joint SNR-temporal video quality in MPEG-4 fine grained scalable coding
To enable video transmission over heterogeneous wireless networks, a highly scalable compression and streaming framework that can adapt to large and rapid bandwidth variations in ...
Raj Kumar Rajendran, Mihaela van der Schaar, Shih-...
ICASSP
2010
IEEE
13 years 9 months ago
Robust spectro-temporal features based on autoregressive models of Hilbert envelopes
In this paper, we present a robust spectro-temporal feature extraction technique using autoregressive models (AR) of sub-band Hilbert envelopes. AR models of Hilbert envelopes are...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
HCI
2009
13 years 6 months ago
Long Term Repair of Learning Disability through Short-Term Reduction of CNS Inhibition
Learning disabilities are serious societal problems contributing to a loss of quality of life for affected individuals and their families. We hypothesized that the learning disabil...
H. Craig Heller, Damien Colas, Norman F. Ruby, Fab...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 11 months ago
eTrust: understanding trust evolution in an online world
Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists...
Jiliang Tang, Huan Liu, Huiji Gao, Atish Das Sarma...
ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
14 years 2 months ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su