这个搜罗了cvpr2013有关于classification的相关文章，自己得mark下来好好看看，好快啊，都快研二了，但是还是一点头绪都没！好好看看，争取每篇文章写点思想。

Oral:

1、Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem

Rui Caseiro, Pedro Martins, João F. Henriques, Fátima Silva Leite, Jorge Batista

Poster:

2、Label-Embedding for Attribute-Based Classification

Zeynep Akata, Florent Perronnin, Zaid Harchaoui, Cordelia Schmid

3、Subcategory-aware Object Classification

Jian Dong, Qiang Chen, Jiashi Feng, Wei Xia, Zhongyang Huang, Shuicheng YAN

4、Blocks that Shout: Distinctive Parts for Scene Classification (PDF)

Mayank Juneja, Andrea Vedaldi, CV Jawahar, Andrew Zisserman

5、Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces

Shaokang Chen, Conrad Sanderson, Mehrtash Harandi, Brian Lovell

6、BoF meets HOG: Feature Extraction based on Histograms of Oriented p.d.f Gradients for Image Classification (PDF, code) 文献阅读笔记

Takumi Kobayash

7、Learning Structured Low-rank Representations for Image Classification

Yangmuzi Zhang, Zhuolin Jiang, Larry Davis

8、Probabilistic Label Trees for Efficient Large Scale Image Classification

Baoyuan Liu, Fereshteh Sadeghi, Marshall Tappen, Ohad Shamir, Ce Liu

9、Adaptive Active Learning for Image Classification (PDF)

Xin Li (Temple University), Yuhong Guo (Temple University)

10、Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis (PDF)

Christian Theriault, Nicolas Thome, Matthieu Cord

11、From Local Similarity to Global Coding; An Application to Image Classification (PDF, project)

Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Marjan Ghazvininejad

12、Classification of Tumor Histology via Morphometric Context

Hang Chang, Alexander Borowsky, Paul Spellman, Bahram Parvin

13、Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable LandmarkClassification (PDF, project)

Alessandro Bergamo, Sudipta Sinha, Lorenzo Torresani