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Active Sampling for Entity Matching

Active Sampling for Entity Matching

  • tatiana-dople
  • 23 Slides

Aditya. . Parameswaran. Stanford University. Joi...

UMass Lowell Computer Science 91.504

UMass Lowell Computer Science 91.504

  • calandra-battersby
  • 32 Slides

. Advanced Algorithms. Computational Geometry. ...

Visibility of noisy point cloud data

Visibility of noisy point cloud data

  • cheryl-pisano
  • 38 Slides

. Ravish Mehra. 1,2. . Pushkar. Tripat...

Learning Representations of Data

Learning Representations of Data

  • liane-varnes
  • 51 Slides

J. Saketha Nath. , IIT Bombay. Collaborators:. Pr...

Machine Learning Applied in Product Classification

Machine Learning Applied in Product Classification

  • luanne-stotts
  • 20 Slides

Jianfu Chen. Computer Science Department. Stony B...

The Circles of Apollonius

The Circles of Apollonius

  • test
  • 15 Slides

AIM . MTC . Session. September 24. , 2016. Apollo...

Efficient Algorithms for Robust

Efficient Algorithms for Robust

  • tawny-fly
  • 57 Slides

One-bit Compressive . Sensing. 张利军. 南京...

Gradient descent

Gradient descent

  • min-jolicoeur
  • 47 Slides

David Kauchak. CS 451 – Fall 2013. Admin. Assig...

Polygons & Parallelograms

Polygons & Parallelograms

  • trish-goza
  • 6 Slides

Properties & Attributes. A . few polygons. Tr...

Lecture 13 –

Lecture 13 –

  • briana-ranney
  • 49 Slides

Perceptrons. Machine Learning. March 16, 2010. La...

Convex Programming M. Pawan Kumar

Convex Programming M. Pawan Kumar

  • trish-goza
  • 0 Slides

http://. www.robots.ox.ac.uk. /~oval/. Slides ava...

CIS 700: “algorithms for Big Data”

CIS 700: “algorithms for Big Data”

  • mitsue-stanley
  • 0 Slides

Grigory. . Yaroslavtsev. http://grigory.us. Lect...

Network Lasso: Clustering and Optimization in

Network Lasso: Clustering and Optimization in

  • tawny-fly
  • 0 Slides

Large Graphs. David . Hallac. , Jure . Leskovec. ...

Some Useful Machine Learning Tools

Some Useful Machine Learning Tools

  • min-jolicoeur
  • 0 Slides

M. Pawan Kumar. École. . Centrale. Paris. Éco...

Ball Separation Properties in

Ball Separation Properties in

  • yoshiko-marsland
  • 0 Slides

Banach. Spaces. Sudeshna. . Basu. . Integratio...

COSC 6114 Prof. Andy Mirzaian

COSC 6114 Prof. Andy Mirzaian

  • tawny-fly
  • 0 Slides

Convex Hull. in 3D &. Higher Dimentions. TOIC...

Binh’s research progress

Binh’s research progress

  • phoebe-click
  • 0 Slides

Last week : finalize dvc3D 1.0. Getting iterative...

Global optimisation of the Optimal Power

Global optimisation of the Optimal Power

  • yoshiko-marsland
  • 0 Slides

Flow. Manuel Ruiz – RTE – manuel.ruiz@rte-fra...

1.6 Classify polygons Polygons

1.6 Classify polygons Polygons

  • marina-yarberry
  • 0 Slides

Polygon: A closed plane figure with 3 or more sid...

Bounded-Degree Polyhedronization of Point Sets

Bounded-Degree Polyhedronization of Point Sets

  • marina-yarberry
  • 0 Slides

Andrew Winslow with Gill . Barequet. , Nadia . Be...

Physics 1161: Lecture

Physics 1161: Lecture

  • stefany-barnette
  • 0 Slides

16. Introduction to Mirrors. Light incident on an...

Geometric Optimization via Composite

Geometric Optimization via Composite

  • phoebe-click
  • 0 Slides

Majorization. ANNA . SHTENGEL, Weizmann Institute...

Two approaches to non-convex

Two approaches to non-convex

  • tawny-fly
  • 0 Slides

machine learning. Yuchen Zhang. Stanford Universi...

Cooperation via Policy Search

Cooperation via Policy Search

  • tawny-fly
  • 0 Slides

and. Unconstrained Minimization. Brendan and Yifa...

Chapter 7 Nonlinear Optimization Models

Chapter 7 Nonlinear Optimization Models

  • alexa-scheidler
  • 0 Slides

Introduction. In many complex optimization proble...

Sum of squares optimization:

Sum of squares optimization:

  • test
  • 0 Slides

scalability . improvements . and . applications ....

New Conjectures in the Geometry of Numbers

New Conjectures in the Geometry of Numbers

  • liane-varnes
  • 0 Slides

Daniel . Dadush. Centrum . Wiskunde. & . Inf...

Mirrors and Lenses Chapter 13

Mirrors and Lenses Chapter 13

  • briana-ranney
  • 0 Slides

Mirrors. Recall that your eyes gather light refle...

Guang can Liu Robust Subspace Clustering in High Dimension:

Guang can Liu Robust Subspace Clustering in High Dimension:

  • debby-jeon
  • 0 Slides

A Deterministic Result. 1. st. Annual Workshop o...

The Cloud The Cloud HBC LED Series

The Cloud The Cloud HBC LED Series

  • jane-oiler
  • 0 Slides

H. igh . B. ay . C. loud. Application. • Ultral...

Sampling and Volume Computation in High Dimension

Sampling and Volume Computation in High Dimension

  • debby-jeon
  • 0 Slides

Santosh . Vempala. Tutorial outline. Intro to hig...

Javad Lavaei Department of Electrical Engineering

Javad Lavaei Department of Electrical Engineering

  • sherrill-nordquist
  • 0 Slides

Columbia . University. . Graph-Theoretic Algorit...

Advanced Micro Theory Preferences and Utility

Advanced Micro Theory Preferences and Utility

  • liane-varnes
  • 0 Slides

Consumer Choice. Postulate: . an unproved and ind...

Lower bounds against convex

Lower bounds against convex

  • kittie-lecroy
  • 0 Slides

relaxations. via statistical query complexity. Ba...

Homotopic Morphing of Planar Curves

Homotopic Morphing of Planar Curves

  • pasty-toler
  • 0 Slides

Nadav. . Dym. , Anna . Shtengel. and . Yaron. ...

Optimality Conditions for Unconstrained

Optimality Conditions for Unconstrained

  • cheryl-pisano
  • 0 Slides

optimization. One dimensional optimization. Neces...

Nonnegative polynomials and difference of convex optimization

Nonnegative polynomials and difference of convex optimization

  • faustina-dinatale
  • 0 Slides

Georgina . Hall. Princeton, . ORFE. Joint work wi...

Chapter 7 Nonlinear Optimization Models

Chapter 7 Nonlinear Optimization Models

  • giovanna-bartolotta
  • 0 Slides

Introduction. In many complex optimization proble...

Semester 1 Art Review Michelangelo’s - David

Semester 1 Art Review Michelangelo’s - David

  • giovanna-bartolotta
  • 0 Slides

David is standing “Contraposto”. Like many cl...

Holder Homeomorphisms and Approximate Nearest Neighbors

Holder Homeomorphisms and Approximate Nearest Neighbors

  • yoshiko-marsland
  • 0 Slides

Ilya . Razenshteyn. . (Microsoft Research Redmon...

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