'Similarity metric' diaporamas de présentation

Image Segmentation

Image Segmentation. Image segmentation is the operation of partitioning an image into a collection of connected sets of pixels. 1. into regions , which usually cover the image 2. into linear structures , such as - line segments - curve segments 3. into 2D shapes , such as

1.03k views • 101 slides

Sequential imperfect-information games Case study: Poker

Sequential imperfect-information games Case study: Poker. Tuomas Sandholm Carnegie Mellon University Computer Science Department. Sequential imperfect information games. Players face uncertainty about the state of the world Sequential (and simultaneous) moves

1.17k views • 92 slides

Image Segmentation

Image Segmentation. Image segmentation is the operation of partitioning an image into a collection of connected sets of pixels. 1. into regions , which usually cover the image 2. into linear structures , such as - line segments - curve segments 3. into 2D shapes , such as

3.52k views • 89 slides

Learning Similarity Measures Based on Random Walks in Graphs

Learning Similarity Measures Based on Random Walks in Graphs. William W. Cohen Machine Learning Department and Language Technologies Institute School of Computer Science Carnegie Mellon University joint work with: Ni Lao, CMU ?Google Tom Mitchell, CMU Einat Minkov, Univ Haifa

666 views • 56 slides

Learning Similarity Measures Based on Random Walks in Graphs

Learning Similarity Measures Based on Random Walks in Graphs. William W. Cohen Machine Learning Department and Language Technologies Institute School of Computer Science Carnegie Mellon University joint work with: Ni Lao, CMU ?Google Tom Mitchell, CMU Einat Minkov, Univ Haifa

564 views • 56 slides

Case Injected Genetic Algorithms

Case Injected Genetic Algorithms. Sushil J. Louis Genetic Algorithm Systems Lab (gaslab) University of Nevada, Reno http://www.cs.unr.edu/~sushil http://gaslab.cs.unr.edu/ sushil@cs.unr.edu. Learning from Experience: Case Injected Genetic Algorithm Design of Combinational Logic Circuits.

482 views • 39 slides

479 views • 30 slides

Similarity Metrics for Categorization: From Monolithic to Category Specific

Similarity Metrics for Categorization: From Monolithic to Category Specific. Boris Babenko, Steve Branson, Serge Belongie University of California, San Diego ICCV 2009, Kyoto, Japan. Similarity Metrics for Recognition. Recognizing multiple categories

373 views • 29 slides

Lucy Cherkasova, Kave Eshghi, Brad Morrey, Joseph Tucek, Alistair Veitch

Applying Syntactic Similarity Algorithms for Enterprise Information Management. Lucy Cherkasova, Kave Eshghi, Brad Morrey, Joseph Tucek, Alistair Veitch Hewlett-Packard Labs. New Applications in the Enterprise.

347 views • 23 slides

Avaya Interactive Dashboard (AID): An Interactive Tool for Mining Avaya Problem Ticket Database

Avaya Interactive Dashboard (AID): An Interactive Tool for Mining Avaya Problem Ticket Database. Amit Bagga Ask Jeeves, Inc. USA. Ziyang Wang Department of Computer Science New York University USA. Outline. Motivations and goals Application overview Functionalities Architecture

437 views • 22 slides

Event Co-reference from Supervision to Dataless

Event Co-reference from Supervision to Dataless. & Spanish Entity Discovery and Linking. Haoruo Peng Joint Work with Yangqiu Song and Dan Roth CS @ UIUC Nov. 17th, 2015. TAC Event Task. Event Nugget (EN) Track Event Nugget Detection

211 views • 21 slides

IDSS: Overview of Themes

AI Introduction Overview IDT Attribute-Value Rep. Decision Trees Induction CBR Introduction Representation Similarity Adaptation Rule-based Inference & Expert Systems Computational Complexity AI Method: Synthesis Tasks AI Planning. Uncertainty (MDP, Utility, Fuzzy logic).

416 views • 19 slides

Multivariate Time Series Analysis of Clinical and Physiological Data

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Topology Matching For Fully Automatic Similarity Matching of 3D Shapes

Topology Matching For Fully Automatic Similarity Matching of 3D Shapes. Masaki Hilaga Yoshihisa Shinagawa Taku Kohmura Tosiyasu L. Kunii. Shape Matching Problem. Similarity between 3D objects Metric near-invariants Rigid transformations Surface simplification Noise Fast. Technique (1).

390 views • 17 slides

Ioana Sora, Gabriel Glodean, Mihai Gligor Department of Computers

Software Architecture Reconstruction: An Approach Based on Combining Graph Clustering and Partitioning. Ioana Sora, Gabriel Glodean, Mihai Gligor Department of Computers Politehnica University of Timisoara. Context: Software Architecture. What it is:

270 views • 16 slides

Regression based KNN for gene function prediction using heterogeneous data sources

Regression based KNN for gene function prediction using heterogeneous data sources. Zizhen Yao, Larry Ruzzo yzizhen, ruzzo @cs.washington.edu. Background. E. Coli classification schemes KEGG , COG, MultiFun Common functional classes (10-19 classes)

231 views • 13 slides

Rhythmic Similarity

Rhythmic Similarity. Carmine Casciato MUMT 611 Thursday, March 13, 2005. Overview. Music Tech research into rhythmic similarity Representations Problem of segmentation. Usage. Usage. Computer accompaniment systems Ethno-musicological research Database management Queries by humming

213 views • 12 slides

MotionVis

124 views • 12 slides