梯度计算2008年论文集合

2008

• Group-Based Learning: A Boosting Approach (CIKM 2008)

  • Weijian Ni, Jun Xu, Hang Li, Yalou Huang
  • [Paper]

• Semi-Supervised Boosting Using Visual Similarity Learning (CVPR 2008)

  • Christian Leistner, Helmut Grabner, Horst Bischof
  • [Paper]

• Mining Compositional Features for Boosting (CVPR 2008)

  • Junsong Yuan, Jiebo Luo, Ying Wu
  • [Paper]

• Boosted Deformable Model for Human Body Alignment (CVPR 2008)

  • Xiaoming Liu, Ting Yu, Thomas Sebastian, Peter H. Tu
  • [Paper]

• Discriminative Modeling by Boosting on Multilevel Aggregates (CVPR 2008)

  • Jason J. Corso
  • [Paper]

• Face Alignment via Boosted Ranking Model (CVPR 2008)

  • Hao Wu, Xiaoming Liu, Gianfranco Doretto
  • [Paper]

• Boosting Adaptive Linear Weak Classifiers for Online Learning and Tracking (CVPR 2008)

  • Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal
  • [Paper]

• Detection with Multi-Exit Asymmetric Boosting (CVPR 2008)

  • Minh-Tri Pham, V-D. D. Hoang, Tat-Jen Cham
  • [Paper]

• Boosting Ordinal Features for Accurate and Fast Iris Recognition (CVPR 2008)

  • Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu, Cheng Zhong, Wenbo Dong
  • [Paper]

• Adaptive and Compact Shape Descriptor by Progressive Feature Combination and Selection with Boosting (CVPR 2008)

  • Cheng Chen, Yueting Zhuang, Jun Xiao, Fei Wu
  • [Paper]

• Boosting Relational Sequence Alignments (ICDM 2008)

  • Andreas Karwath, Kristian Kersting, Niels Landwehr
  • [Paper]

• Boosting with Incomplete Information (ICML 2008)

  • Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori, Feng Jiao
  • [Paper]

• ManifoldBoost: Stagewise Function Approximation for Fully-, Semi- and Un-supervised Learning (ICML 2008)

  • Nicolas Loeff, David A. Forsyth, Deepak Ramachandran
  • [Paper]

• Random Classification Noise Defeats All Convex Potential Boosters (ICML 2008)

  • Philip M. Long, Rocco A. Servedio
  • [Paper]

• Multi-class Cost-Sensitive Boosting with P-norm Loss Functions (KDD 2008)

  • Aurelie C. Lozano, Naoki Abe
  • [Paper]

• MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features (NIPS 2008)

  • Tae-Kyun Kim, Roberto Cipolla
  • [Paper]

• PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning (NIPS 2008)

  • Chunhua Shen, Alan Welsh, Lei Wang
  • [Paper]

• On the Design of Loss Functions for Classification: Theory, Robustness to Outliers, and SavageBoost (NIPS 2008)

  • Hamed Masnadi-Shirazi, Nuno Vasconcelos
  • [Paper]

• Adaptive Martingale Boosting (NIPS 2008)

  • Philip M. Long, Rocco A. Servedio
  • [Paper]

• A Boosting Algorithm for Learning Bipartite Ranking Functions with Partially Labeled Data (SIGIR 2008)

  • Massih-Reza Amini, Tuong-Vinh Truong, Cyril Goutte
  • [Paper]