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Time series forecasting using a deep belief network with restricted Boltzmann machinesKUREMOTO, Takashi; KIMURA, Shinsuke; KOBAYASHI, Kunikazu et al.Neurocomputing (Amsterdam). 2014, Vol 137, pp 47-56, issn 0925-2312, 10 p.Article

Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data : LEARNING DEEP ARCHITECTURESSHIN, Hoo-Chang; ORTON, Matthew R; COLLINS, David J et al.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 8, pp 1930-1943, issn 0162-8828, 14 p.Article

Learning to Relate Images : LEARNING DEEP ARCHITECTURESMEMISEVIC, Roland.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 8, pp 1829-1846, issn 0162-8828, 18 p.Article

Learning with Hierarchical-Deep ModelsSALAKHUTDINOV, Ruslan; TENENBAUM, Joshua B; TORRALBA, Antonio et al.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 8, pp 1958-1971, issn 0162-8828, 14 p.Article

Fuzzy deep belief networks for semi-supervised sentiment classificationSHUSEN ZHOU; QINGCAI CHEN; XIAOLONG WANG et al.Neurocomputing (Amsterdam). 2014, Vol 131, pp 312-322, issn 0925-2312, 11 p.Article

The Shape Boltzmann Machine: A Strong Model of Object ShapeESLAMI, S. M. Ali; HEESS, Nicolas; WILLIAMS, Christopher K. I et al.International journal of computer vision. 2014, Vol 107, Num 2, pp 155-176, issn 0920-5691, 22 p.Article

Modeling response properties of V2 neurons using a hierarchical K-means modelXIAOLIN HU; JIANWEI ZHANG; PENG QI et al.Neurocomputing (Amsterdam). 2014, Vol 134, pp 198-205, issn 0925-2312, 8 p.Conference Paper

Representation Learning: A Review and New Perspectives : LEARNING DEEP ARCHITECTURESBENGIO, Yoshua; COURVILLE, Aaron; VINCENT, Pascal et al.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 8, pp 1798-1828, issn 0162-8828, 31 p.Article

On the Impact of Approximate Computation in an Analog DeSTIN ArchitectureYOUNG, Steven; JUNJIE LU; HOLLEMAN, Jeremy et al.IEEE transactions on neural networks and learning systems (Print). 2014, Vol 25, Num 5, pp 934-946, issn 2162-237X, 13 p.Article

Natural language neural network and its application to question-answering systemSAGARA, Tsukasa; HAGIWARA, Masafumi.Neurocomputing (Amsterdam). 2014, Vol 142, pp 201-208, issn 0925-2312, 8 p.Article

Structural health monitoring by using a sparse coding-based deep learning algorithm with wireless sensor networksJUNQI GUO; XIAOBO XIE; RONGFANG BIE et al.Personal and ubiquitous computing (Print). 2014, Vol 18, Num 8, pp 1977-1987, issn 1617-4909, 11 p.Conference Paper

Tensor Deep Stacking NetworksHUTCHINSON, Brian; LI DENG; DONG YU et al.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 8, pp 1944-1957, issn 0162-8828, 14 p.Article

A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval : Music Data MiningLI SU; YEH, Chin-Chia Michael; LIU, Jen-Yu et al.IEEE transactions on multimedia. 2014, Vol 16, Num 5, pp 1188-1200, issn 1520-9210, 13 p.Article

Deep self-taught learning for facial beauty predictionJUNYING GAN; LICHEN LI; YIKUI ZHAI et al.Neurocomputing (Amsterdam). 2014, Vol 144, pp 295-303, issn 0925-2312, 9 p.Article

On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep ArchitecturesBIANCHINI, Monica; SCARSELLI, Franco.IEEE transactions on neural networks and learning systems (Print). 2014, Vol 25, Num 8, pp 1553-1565, issn 2162-237X, 13 p.Article

Perception granular computing in visual haze-free taskHONG HU; LIANG PANG; DONGPING TIAN et al.Expert systems with applications. 2014, Vol 41, Num 6, pp 2729-2741, issn 0957-4174, 13 p.Article

Deep Learning with Hierarchical Convolutional Factor Analysis : LEARNING DEEP ARCHITECTURESBO CHEN; POLATKAN, Gungor; SAPIRO, Guillermo et al.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 8, pp 1887-1901, issn 0162-8828, 15 p.Article

Learning Hierarchical Features for Scene Labeling : LEARNING DEEP ARCHITECTURESFARABET, Clément; COUPRIE, Camille; NAJMAN, Laurent et al.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 8, pp 1915-1929, issn 0162-8828, 15 p.Article

An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networksVAN TUNG TRAN; ALTHOBIANI, Faisal; BALL, Andrew et al.Expert systems with applications. 2014, Vol 41, Num 9, pp 4113-4122, issn 0957-4174, 10 p.Article

Improving mixing rate with tempered transition for learning restricted Boltzmann machinesJUNGANG XU; HUI LI; SHILONG ZHOU et al.Neurocomputing (Amsterdam). 2014, Vol 139, pp 328-335, issn 0925-2312, 8 p.Article

SELP: A general-purpose framework for learning the norms from saliencies in spatiotemporal data : Brain inspired models of cognitive memoryBANERJEE, Bonny; DUTTA, Jayanta K.Neurocomputing (Amsterdam). 2014, Vol 138, pp 41-60, issn 0925-2312, 20 p.Article

A sparse-response deep belief network based on rate distortion theoryJI, Nan-Nan; ZHANG, Jiang-She; ZHANG, Chun-Xia et al.Pattern recognition. 2014, Vol 47, Num 9, pp 3179-3191, issn 0031-3203, 13 p.Article

Configuration analysis and recommendation: Case studies in IPv6 networksFULIANG LI; JIAHAI YANG; JIANPING WU et al.Computer communications. 2014, Vol 53, pp 37-51, issn 0140-3664, 15 p.Article

Learning to predict eye fixations for semantic contents using multi-layer sparse network : Brain inspired models of cognitive memoryCHENGYAO SHEN; QI ZHAO.Neurocomputing (Amsterdam). 2014, Vol 138, pp 61-68, issn 0925-2312, 8 p.Article

3D Convolutional Neural Networks for Human Action RecognitionSHUIWANG JI; WEI XU; MING YANG et al.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 1, pp 221-231, issn 0162-8828, 11 p.Article

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