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» Structured Sparsity in Structured Prediction
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PAMI
2007
106views more  PAMI 2007»
15 years 4 months ago
From Template to Image: Reconstructing Fingerprints from Minutiae Points
—Most fingerprint-based biometric systems store the minutiae template of a user in the database. It has been traditionally assumed that the minutiae template of a user does not r...
Arun Ross, Jidnya Shah, Anil K. Jain
TFS
2008
157views more  TFS 2008»
15 years 4 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
131
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CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 3 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
163
Voted
CONEXT
2010
ACM
15 years 3 months ago
The Internet is flat: modeling the transition from a transit hierarchy to a peering mesh
Recent measurements and anecdotal evidence indicate that the Internet ecosystem is rapidly evolving from a multi-tier hierarchy built mostly with transit (customer-provider) links...
Amogh Dhamdhere, Constantine Dovrolis
BIOINFORMATICS
2011
14 years 8 months ago
ProDy: Protein Dynamics Inferred from Theory and Experiments
Summary: We developed a Python package, ProDy, for structurebased analysis of protein dynamics. ProDy allows for quantitative characterization of structural variations in heteroge...
Ahmet Bakan, Lidio M. Meireles, Ivet Bahar