'Scoring function' presentation slideshows

Loss-based Learning with Weak Supervision

Loss-based Learning with Weak Supervision. M. Pawan Kumar. Computer Vision Data. Log (Size). ~ 2000. Segmentation. Information. Computer Vision Data. ~ 1 M. Log (Size). Bounding Box. ~ 2000. Segmentation. Information. Computer Vision Data. > 14 M. ~ 1 M. Log (Size). Image-Level.

1.57k views • 142 slides

Easy AI with Python

1.59k views • 96 slides

CS246

775 views • 64 slides

Prediction Cubes

640 views • 53 slides

Ab Initio Methods for Protein Structure Prediction

Ab Initio Methods for Protein Structure Prediction. CS882 Presentation, by Shuai C., Li. Motivation. homology modeling No knowledge about the physical nature of the protein folding and stability. ab-initio methods can

2.12k views • 44 slides

Web Information Retrieval

588 views • 43 slides

What is expected:

SMA5233 Particle Methods and Molecular Dynamics Lecture 1: Introduction A/P Chen Yu Zong Tel: 6516-6877 Email: phacyz@nus.edu.sg http://bidd.nus.edu.sg Room 08-14, level 8, S16 National University of Singapore. What is expected: .

550 views • 41 slides

Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases

Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases. CVPR 2008 James Philbin Ond?rej Chum Michael Isard Josef Sivic Andrew Zisserman.

487 views • 32 slides

Sequence Alignment II Lecture #3

Sequence Alignment II Lecture #3. Background Readings : Chapters 2.5, 2.7 in the text book, Biological Sequence Analysis , Durbin et al., 2001. Chapters 3.5.1- 3.5.3, 3.6.2 in Introduction to Computational Molecular Biology , Setubal and Meidanis, 1997.

428 views • 32 slides

V.N. Orechovich Institute of Biomedical Chemistry RAMS, Moscow, Russia

V.N. Orechovich Institute of Biomedical Chemistry RAMS, Moscow, Russia e-mail: veselov@ibmh.msk.su. SELECTION OF NEW TARGET PROTEINS FOR DRUG DESIGN IN GENOME OF MYCOBACTERIUM TUBERCULOSIS Alexander V. Veselovsky. Modern pipeline of new drug development. Identify disease.

452 views • 30 slides

Welcome to 03-60-558: Bioinformatics (Courtesy of Dr. S. Batzoglou )

378 views • 28 slides

Rishi : Identify Bot Contaminated Hosts By IRC Nickname Evaluation

Rishi : Identify Bot Contaminated Hosts By IRC Nickname Evaluation. In Proceedings of USENIX Workshop on Hot Topics in Understanding Botnets ( HotBots ), 2007. Reporter : Fong- Ruei , Li. Outline. Introduction Background Communication Channel Detection Results and Evaluation

356 views • 23 slides

Know More Before You Score: An Analysis of Structure-Based Virtual Screening Protocols

Know More Before You Score: An Analysis of Structure-Based Virtual Screening Protocols. Structure-Based Virtual Screening (SBVS) is a proven technique for lead discovery Still many areas for improvement Efforts generally focussed on scoring function

344 views • 22 slides

Best Position Algorithms for Top-k Queries

309 views • 22 slides

A Unified Approach for Computing Top-k Pairs in Multidimensional Space

A Unified Approach for Computing Top-k Pairs in Multidimensional Space. Presented By: Muhammad Aamir Cheema 1 Joint work with Xuemin Lin 1 , Haixun Wang 2 , Jianmin Wang 3 , Wenjie Zhang 1. 1 University of New South Wales, Australia 2 Microsoft Research Asia 3 Tsinghua University, China.

329 views • 22 slides

Footprint-based identification of viral entry inhibitors targeting HIVgp41

Footprint-based identification of viral entry inhibitors targeting HIVgp41. Mr. Holden 9/18/2012. Paper.

302 views • 19 slides

Extended Keyword Index & Improved Search for Semantic e-Catalog

Extended Keyword Index & Improved Search for Semantic e-Catalog. ???. Contents. Motivation Semantic e-Catalog Search In e-Catalog Search Strategy Keyword Index Scoring Fucntion CatOnt Conclusion & Future Work. Motivation. Keyword Search

258 views • 19 slides

Ajay N. Jain

Surflex: Fully Automatic Flexible Molecular Docking Using a Molecular Similarity-Based Search Engine. Ajay N. Jain UCSF Cancer Research Institute and Comprehensive Cancer Center, University of California Presentation by Susan Tang CS 379a January 23, 2006.

303 views • 17 slides

Probabilistic Information Retrieval

233 views • 11 slides

133 views • 6 slides