- Data as Ensembles of Records: Representation and Comparison Nicholas R. Howe nihowe@cs.cornell.edu
- Integrating Color, Texture, and Geometry for Image Retrieval Nicholas R. Howe Daniel P. Huttenlocher
- Silhouette Lookup for Monocular 3D Pose Nicholas R. Howe
- Boosted Decision Trees for Word Recognition in Handwritten Document Retrieval
- Improving the Boosted Correlogram Nicholas R. Howe and Amanda Ricketson
- Weighting Unusual Feature Types Nicholas Howe and Claire Cardie
- Introduced seven years ago, the correlogram is a simple statistical image descriptor that nevertheless performs strongly on image
- Better Foreground Segmentation Through Graph Cuts Nicholas R. Howe Alexandra Deschamps
- A Closer Look at Boosted Image Retrieval Nicholas R. Howe
- Silhouette Lookup for Monocular 3D Pose Nicholas R. Howe
- Using Artificial Queries to Evaluate Image Retrieval Nicholas R. Howe
- RecognitionBased Motion Capture and the HumanEva II Test Data Nicholas R. Howe
- Better Foreground Segmentation Through Graph Cuts Nicholas R. Howe Alexandra Deschamps
- Boosted Image Classification: An Empirical Study Nicholas R. Howe
- Bayesian Reconstruction of 3D Human Motion from Single-Camera Video
- Data as Ensembles of Records: Representation and Comparison Nicholas R. Howe nihowe@cs.cornell.edu
- Percentile Blobs for Image Similarity Nicholas R. Howe
- Boosted Image Classification: An Empirical Study
- 12/6/2007 ICML 2K Nicholas R. Howe
- Improving Minority Class Prediction Using CaseSpecific Feature Weights
- Improving the Boosted Correlogram Nicholas R. Howe and Amanda Ricketson
- ANALYSIS AND REPRESENTATIONS FOR AUTOMATIC COMPARISON, CLASSIFICATION AND RETRIEVAL OF DIGITAL
- Examining Locally Varying Weights for Nearest Neighbor Algorithms
- A Hidden Markov Model for AlphabetSoup Word Recognition
- Boundary Fragment Matching and Articulated Pose Under Occlusion
- Silhouette Lookup for Automatic Pose Tracking Nicholas R. Howe
- Evaluating Recognition-Based Motion Capture on HumanEva II Test Data
- Evaluating Lookup-Based Monocular Human Pose Tracking
- Boosted Decision Trees for Word Recognition in Handwritten Document Retrieval
- A Closer Look at Boosted Image Retrieval Nicholas R. Howe
- A Closer Look at Boosted Image Retrieval
- Boosted Image Classification: An Empirical Study Nicholas R. Howe
- Nicholas R. Howe Analysis and Representation for
- Integrating Color, Texture, and Geometry for Image Retrieval Nicholas R. Howe Daniel P. Huttenlocher
- Percentile Blobs forPercentile Blobs for Image SimilarityImage Similarity
- Percentile Blobs for Image Similarity Nicholas R. Howe
- Weighting Unusual Feature Types Nicholas Howe and Claire Cardie
- Evaluating Lookup-Based Monocular Human Pose Tracking on the HumanEva Test Data
- FLOW LOOKUP AND BIOLOGICAL MOTION PERCEPTION Nicholas R. Howe
- Beyond Mere Pixels: How Can Computers Interpret and
- A Hidden Markov Model for Alphabet-Soup Word Recognition Shaolei Feng Nicholas R. Howe R. Manmatha
- in Advances in Neural Information Processing Systems 12 S.A. Solla, T.K. Leen and K.-R. Muller (eds.), 820-26 MIT Press (2000)
- in Advances in Neural Information Processing Systems 12 S.A. Solla, T.K. Leen and K.R. Muller (eds.), 82026 MIT Press (2000)
- Silhouette Lookup for Automatic Pose Tracking Nicholas R. Howe
- Using Artificial Queries to Evaluate Image Retrieval Nicholas R. Howe
- Recognition-Based Motion Capture and the HumanEva II Test Data Nicholas R. Howe
- Improving Minority Class Prediction Using Case-Speci c Feature Weights
- Finding Words in Alphabet Soup: Inference on Freeform Character Recognition for
- Boundary Fragment Matching Articulated Pose Under Occlusion
- Boosted Decision Trees for Word Recognition in
- Analysis and Representations for Automatic Comparison, Classification, and Retrieval of Digital Images
- Boundary Fragment Matching and Articulated Pose Under Occlusion
- A Recognition-Based Motion Capture Baseline on the HumanEva II Test Data
