計畫


第 1 到 23 筆結果，共 23 筆。

啟始時間標題P-Investigator經費來源
2022Deep Learning Approaches to Estimating Fish Density Maps from Multiple Imaging-Sonar Vi Ews (II)Chin-Chun ChangNational Science and Technology Council
2022智能化箱網養殖模式研究Chin-Chun ChangCouncil of Agriculture,Executive Yuan
2021Deep Learning Approaches to Estimating Fish Density Maps from Multiple Imaging-Sonar Vi Ews (I)Chin-Chun ChangNational Science and Technology Council
2021智能化箱網養殖模式研究Chin-Chun ChangFisheries Agency,COA, Executive Yuan
2020Fisher'S Discriminant Analysis with Space Folding and Discriminant Analysis by the Posterior of Gaussian Mixtures(II)Chin-Chun ChangNational Science and Technology Council
2019Fisher'S Discriminant Analysis with Space Folding and Discriminant Analysis by the Posterior of Gaussian Mixtures(I)Chin-Chun ChangNational Science and Technology Council
2018Machine-Learning Algorithms with Low Labeling Cost: Semisupervised Learning, Active Learning, and Transfer LearningChin-Chun ChangNational Science and Technology Council
2017Ground-To-Aerial Cross- Vi Ew Image Geolocalization and Semantic Transfer by Deep Learning and Transfer LearningChin-Chun ChangNational Science and Technology Council
2016Reconstruction-based active learning algorithms with automatic tuning of hyperparametersChin-Chun ChangNational Science and Technology Council
2015Active Learning Based on Locally Linear Propagation Reconstruction and Selection of Kernel Parameters for Support Vector Machines with General RBF Kernels: Gradient Descent-Based ApproachesChin-Chun ChangNational Science and Technology Council
2014Active Learning Based on Locally Linear Propagation Reconstruction and Selection of Kernel Parameters for Support Vector Machines with General RBF Kernels: Gradient Descent-Based ApproachesChin-Chun ChangNational Science and Technology Council
2013An Active Learning Algorithm for Semi-Supervised Clustering and a Semi-Supervised Active Learning Framework for Distance Metric Learning Based on Locally Propagated Linear ReconstructionChin-Chun ChangNational Science and Technology Council
2012Passive/Active Semi-Supervised Clustering with Discriminative Random FieldsChin-Chun ChangNational Science and Technology Council
2011A Boosting Approach to Supervised Distance Metric Learning with Application to Human Age EstimationChin-Chun ChangNational Science and Technology Council
2009Detection and Recognition of Dynamic Human Gestures in Cluttered Scenes by Kernel-Based Deformable Shape Models with Nonlinear/Non-Gaussian Bayesian Tracking and a Cascade of Dynamic Time Warping and Independent ClassifiersChin-Chun ChangNational Science and Technology Council
2008Simultaneous Detection and Recognition of Dynamic Gestures by the A*-Guided Dynamic Time Warping and Progressive Shape Detection in Cluttered ScenesChin-Chun ChangNational Science and Technology Council
2007Image Resolution and Dynamic Range Adaptation According to Terminal Capabilities and Users' Perception Preferences for MPEG-21 Digital ItemsChin-Chun ChangNational Science and Technology Council
2006Using Kernel Methods and Level-Set Methods to Detect Deformable Shapes with Smeared or Cognitive ContoursChin-Chun ChangNational Science and Technology Council
2005A Homotopy Continuation Method for a New Regularized Fisher Discriminant Analysis and its Application to Detection of Image Features with DistortionsChin-Chun ChangNational Science and Technology Council
2004Deformable Shape and Feature Correspondences by Kernel-Based Deformable Shape Model and Sparse Feature Correspondence TechniquesChin-Chun ChangNational Science and Technology Council
2002Vision-Based Analysis of Human Activities by Shape Variation Modes for Applications in Smart EnvironmentsChin-Chun ChangNational Science and Technology Council
-A Kernel-Based Approach to Detecting Deformable Shapes for Applications in Smart EnvironmentsChin-Chun ChangNational Science and Technology Council
-A Boosting Approach to Supervised/Semi-Supervised Learning a Mahalanobis Distance Metric for the Nearest-Neighbor ClassificationChin-Chun ChangNational Science and Technology Council