Search results for "Shuiwang Ji"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou	Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.	IEEE/ACM Trans. Comput. Biology Bioinform.	2012	DBLP DOI BibTeX RDF
1	Jie Gui, Zhenan Sun, Wei Jia, Rong-Xiang Hu, Ying-Ke Lei, Shuiwang Ji	Discriminant sparse neighborhood preserving embedding for face recognition.	Pattern Recognition	2012	DBLP DOI BibTeX RDF
1	Liang Sun, Shuiwang Ji, Jieping Ye	Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis.	IEEE Trans. Pattern Anal. Mach. Intell.	2011	DBLP DOI BibTeX RDF
1	Sudhir Kumar, Charlotte Konikoff, Bernard Van Emden, Christopher Busick, Kailah T. Davis, Shuiwang Ji, Lin-Wei Wu, Hector Ramos, Thomas Brody, Sethuraman Panchanathan, Jieping Ye, Timothy L. Karr, Kristyn Gerold, Michael McCutchan, Stuart J. Newfeld	FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis.	Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Shuiwang Ji	Computational network analysis of the anatomical and genetic organizations in the mouse brain.	Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye	Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning.	SIAM Journal on Optimization	2010	DBLP DOI BibTeX RDF
1	Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye	A shared-subspace learning framework for multi-label classification.	TKDD	2010	DBLP DOI BibTeX RDF
1	Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu	3D Convolutional Neural Networks for Human Action Recognition.	ICML	2010	DBLP BibTeX RDF
1	Shuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye	A bag-of-words approach for Drosophila gene expression pattern annotation.	BMC Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye	On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares.	IJCAI	2009	DBLP BibTeX RDF
1	Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou	DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.	IJCAI	2009	DBLP BibTeX RDF
1	Shuiwang Ji, Jieping Ye	Linear Dimensionality Reduction for Multi-label Classification.	IJCAI	2009	DBLP BibTeX RDF
1	Liang Sun, Shuiwang Ji, Jieping Ye	A least squares formulation for a class of generalized eigenvalue problems in machine learning.	ICML	2009	DBLP DOI BibTeX RDF
1	Shuiwang Ji, Jieping Ye	An accelerated gradient method for trace norm minimization.	ICML	2009	DBLP DOI BibTeX RDF
1	Jun Liu, Shuiwang Ji, Jieping Ye	Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization.	UAI	2009	DBLP BibTeX RDF
1	Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye	Drosophila gene expression pattern annotation using sparse features and term-term interactions.	KDD	2009	DBLP DOI BibTeX RDF	gene expression pattern, sparse learning, regularization, image annotation, bag-of-words
1	Bao-Hong Shen, Shuiwang Ji, Jieping Ye	Mining discrete patterns via binary matrix factorization.	KDD	2009	DBLP DOI BibTeX RDF	binary matrix factorization, rank-one, regularization, integer linear program, maximum flow, minimum cut
1	Shuiwang Ji, Jieping Ye	Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study.	IEEE Trans. Knowl. Data Eng.	2008	DBLP DOI BibTeX RDF
1	Liang Sun, Shuiwang Ji, Jieping Ye	Adaptive diffusion kernel learning from biological networks for protein function prediction.	BMC Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Shuiwang Ji, Liang Sun, Rong Jin, Sudhir Kumar, Jieping Ye	Automated annotation of Drosophila gene expression patterns using a controlled vocabulary.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Shuiwang Ji, Jieping Ye	Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
1	Jieping Ye, Shuiwang Ji, Jianhui Chen	Multi-class Discriminant Kernel Learning via Convex Programming.	Journal of Machine Learning Research	2008	DBLP DOI BibTeX RDF
1	Liang Sun, Shuiwang Ji, Jieping Ye	A least squares formulation for canonical correlation analysis.	ICML	2008	DBLP DOI BibTeX RDF
1	Shuiwang Ji, Jieping Ye	A unified framework for generalized Linear Discriminant Analysis.	CVPR	2008	DBLP DOI BibTeX RDF
1	Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye	Multi-label Multiple Kernel Learning.	NIPS	2008	DBLP BibTeX RDF
1	Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye	Extracting shared subspace for multi-label classification.	KDD	2008	DBLP DOI BibTeX RDF	shared subspace, least squares, multi-label classification
1	Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye	Learning subspace kernels for classification.	KDD	2008	DBLP DOI BibTeX RDF	Hilbert-Schmidt independence criterion, subspace kernel, classification, support vector machines
1	Liang Sun, Shuiwang Ji, Jieping Ye	Hypergraph spectral learning for multi-label classification.	KDD	2008	DBLP DOI BibTeX RDF	spectral learning, efficiency, regularization, least squares, hypergraph, multi-label classification, canonical correlation analysis
1	Jieping Ye, Jianhui Chen, Shuiwang Ji	Discriminant kernel and regularization parameter learning via semidefinite programming.	ICML	2007	DBLP DOI BibTeX RDF
1	Jieping Ye, Shuiwang Ji, Jianhui Chen	Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.	KDD	2007	DBLP DOI BibTeX RDF	quadratically constrained quadratic programming, model selection, convex optimization, kernel learning, kernel discriminant analysis

Publications of "Shuiwang Ji" ( http://dblp.L3S.de/Authors/Shuiwang_Ji )