about
Recognizing the Operating Hand and the Hand-Changing Process for User Interface Adjustment on SmartphonesSequential Monte Carlo-guided ensemble trackingRefining Automatically Extracted Knowledge Bases Using Crowdsourcing.Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression.A Rough Set Bounded Spatially Constrained Asymmetric Gaussian Mixture Model for Image Segmentation.A Computational Method for Optimizing Experimental Environments for Phellinus igniarius via Genetic Algorithm and BP Neural Network.A decision support model for investment on P2P lending platform.Computational prediction of human disease-related microRNAs by path-based random walk.A quasi-Newton algorithm for large-scale nonlinear equationsA modified three-term PRP conjugate gradient algorithm for optimization models.Automated red blood cells extraction from holographic images using fully convolutional neural networks.Dynamic Gesture Recognition with a Terahertz Radar Based on Range Profile Sequences and Doppler Signatures.iAFP-Ense: An Ensemble Classifier for Identifying Antifreeze Protein by Incorporating Grey Model and PSSM into PseAAC.Video tamper detection based on multi-scale mutual informationA hidden semi-Markov model for chart pattern matching in financial time seriesObserver-Based Load Frequency Control for Island Microgrid with Photovoltaic PowerSolving k-Barrier Coverage Problem Using Modified Gravitational Search AlgorithmWavelet Denoising of Vehicle Platform Vibration Signal Based on Threshold Neural NetworkAn Invocation Cost Optimization Method for Web Services in Cloud Environment
P2860
Q33450356-9C709DC9-EC34-4DA1-B18A-7E66BEEA5D77Q33554300-82665A7B-E039-4EE0-AC15-06856FEF29B8Q33734224-55284003-7C10-4C51-B770-4339255A8CACQ36104133-AB511488-FAAD-4D02-9702-4F32B862F419Q36237954-B8924F1A-C534-4A51-9226-D0D14B116A11Q37195351-33141317-6879-4CC1-856D-BEAB109C957BQ41634909-2FDA505D-3550-4D8A-BF83-F644E5E4FA70Q41709384-16A0C789-BEC9-476D-8DEC-BFB78FC5AB7EQ41879661-07A88BD6-0E92-438B-B27D-A8E45981723AQ42037432-CECF8251-49A2-4B1E-ACC1-B35F1C5F310DQ43115972-E7B2AA38-7F7E-42E3-9C4F-B29B2538937EQ47228092-8C71FC0F-3C74-4A54-8E5C-5891E88B1CEFQ50553584-5E433524-05E9-4285-B3E9-7C4B3B268D9FQ56938714-47FBCC70-BDBC-41BA-860D-E145D14AE521Q57569942-C82E267F-DCF8-40DF-BCE8-873FDDC203FEQ59144493-92EF7B48-9BA6-4C15-9061-7242F6F45C25Q59147204-9AC519C8-1BD9-48B5-8E39-E4C2696CD1B8Q59148140-60FE2556-293C-4525-9EDD-BE1ED978B4CEQ59148200-8F3CBEEF-78F1-4386-895F-41D9F1DE5A1B
P2860
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Structural Minimax Probability Machine.
@en
Structural Minimax Probability Machine.
@nl
type
label
Structural Minimax Probability Machine.
@en
Structural Minimax Probability Machine.
@nl
prefLabel
Structural Minimax Probability Machine.
@en
Structural Minimax Probability Machine.
@nl
P2093
P1476
Structural Minimax Probability Machine.
@en
P2093
Victor S Sheng
Xingming Sun
P304
P356
10.1109/TNNLS.2016.2544779
P407
P577
2016-04-14T00:00:00Z