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Measure distance between functions under uniform distribution. ... Watch your manners. Here's your example: Very brief Fourier interlude ...
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Claim: (J k)-wise independent fools h. Proof: Fixing J variables ... Other variables x J still 2-wise independent. w J x J concentrated rarely changes outcome ...
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Multimode sonic & ultrasonic image. Grayscale: Ultrasound image of geometry. Color: Sonic image of noise generation at. frequency associated with turbulence ...
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View a k-DNF as a disjunction over 'metavariables', learn the disjunction using elimination. ... disjunctions, halfspaces, decision lists, parities, k-DNF, k-CNF. ...
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Title: Computational Applications of Noise Sensitivity Author: Ryan Last modified by: Ryan Created Date: 4/1/2003 10:12:00 PM Document presentation format
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Spatial (or N-Dimensional) Search in a Relational World Jim Gray Equations Define Subspaces For (x,y) above the line ax+by c Reverse the space by -ax + -by -c ...
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Title: PowerPoint Presentation Last modified by: Parikshit Gopalan Created Date: 1/1/1601 12:00:00 AM Document presentation format: On-screen Show
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Runs out of memory even before solving the. optimization problem ... of the optimization problem significantly! Solving for in terms of and gives: min ...
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Agnostically Learning Decision Trees. Parikshit Gopalan MSR-Silicon ... Pay 1 for indecision. Pay 2 for a mistake. Agnostic Learning via l1 Regression? -1 ...
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Projective relations in a 3D environment Roland Billen1 & Eliseo Clementini2 1 University of Li ge (Belgium) 2 University of L Aquila (Italy)
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Images, spectra, corrected frames, atlas images, binned images, masks. Online form-based access at www.sdss.org. Rsync and wget file retrieval ...
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Iterated Function Systems--IFS. A finite set of 'maps' ... IFS Gallery: Menger's Sponge. 11. IFS Gallery: Spirals. 12. IFS Gallery: Five Non-Platonic ...
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Typically nonlinear in the input space. Linear in a higher dimensional space ... allows complex classification (No positive definiteness 'Mercer' condition! ...
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Rezanje rt in poligonov
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Point Grey Bumblebee. Boom in surface reconstruction research. Why we love the Voronoi diagram ... Triangles with no small angles, respect size of input ...
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A general agnostic active learning algorithm Claire Monteleoni UC San Diego Joint work with Sanjoy Dasgupta and Daniel Hsu, UCSD. Active learning Many machine ...
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Size sF (f) of f with respect to class F is size of smallest representation of f ... Monotone: For all x, i: f(x|xi=0) f(x|xi=1) Also exponential in 1/e (so ...
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Title: PowerPoint Presentation Author: jacob white Last modified by: Luca Daniel Created Date: 9/7/2000 4:33:03 AM Document presentation format: On-screen Show
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Harmonic analysis is central to learning theoretic results ... Modified Levin algo finds ?a in time ~ns2. Uniform Learning from a. Classification Noise Oracle ...
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Exact leave-one-out-correctness can be obtained in terms of problem data. Linear PSVM ... Comparable test set correctness to standard SVM ...
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Object representation by truncated distance fields (TDFs) ... VG 2005. 21. Thank you for attention. Emails: novotny@sccg.sk. milos.sramek@oeaw.ac.at ...
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Even for huge problems (1 billion) NO optimization packages (LP,QP) needed. Outline of Talk ... where e is a vector of ones. Separate by two bounding planes, ...
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What is a Support Vector Machine? An optimally defined surface ... Reduced support vector machine classification ... Preleminary results beat state-of-the-art software ...
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GUN. GUY_BAD. Octrees (HS) ... It appears that most games don't bother, the trade-off favors pre-processed ... Environments of video game are vast and tend to ...
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function [w, gamma] = psvm(A,d,nu) % PSVM: linear and nonlinear classification ... w=r(1:n);gamma=r(n 1); % getting w,gamma from r. Numerical experiments ...
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Acts as a new 'spatial access method' Ported to Yukon CLR for a 3x speedup. ... The geoid is not a sphere! A trick: do everything in 3-space with planes ...
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Convex hull Definition Important lower bound property in practice for non-convex problems the two cases You ll see a very interesting other way of finding ...
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Synthetic dataset consisting of 1 billion points in 10- dimensional ... By QP 'duality', . Maximizing the margin. in the 'dual space' , gives: min. Replace ...
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... an LP give rise to a geometrical shape - we call it a polyhedron. ... the corner points of the polyhedron, then we can calculate the ... polyhedron ...
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Support vector machines or kernel methods. State-of-the-art tool for data mining and machine learning. What is a Support Vector Machine? ...
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By QP 'duality', . Maximizing the margin. in the 'dual space' , gives: min. Replace ... ( Via Nonhomogeneous Farkas or LP Duality) Proof: By LP Duality: ...
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PhD Defense. Parametric Query Optimization. Arvind Hulgeri. Dept of ... plan is added to CSOP, we need to carve out region for the new plan; it involves ...
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Geometric Data Stream Algorithms as Data Structures. Data structures that support: ... The algorithms will maintain certain statistics over nP(.), which will allow it ...
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1. A Quasi-Convex Optimization Approach to Parameterized Model Order Reduction ... Flipping real parts of poles. PVL algorithm [Bai Bell Lab Tech Report 97] ...
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Title: Linear Programming (Optimization) Last modified by: sspark Created Date: 3/3/2001 8:59:47 AM Document presentation format: (4:3)
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Geometry at Work: Open Issues Encountered in Real Applications using BRLCADTM
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Geometric Data Stream Algorithms as Data Structures. Data structures that support: ... The algorithms will maintain certain statistics over nP(.), which will allow it ...
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On Translational Motion Planning in R3. Esther Ezra and Micha Sharir. Tel ... and peel them off C1. Obtain a new polyhedron C2 C1 . Apply steps 1 3 recursively. ...
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Simplex method [Dantzig 1947] very fast in practice. very good ' ... the simplex algorithm that selects an improving edge ... the d-dimensional simplex: (log d) ...
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Polygons that are completely inside the view volume are processed for display. ... Recall that we need polygon clipping against the view volume. ...
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a beautiful object, one of the early. success stories in computational ... Imagine nails pounded halfway into the plane at the points of S. ...
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Affine hull and dimension. Supporting hyperplanes. Faces. Maximal faces: facets ... P has no faces different from P P is an affine subspace ...
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... fix a set S and let {xm} be any sequence of elements in S. ... Consider any two disjoint sets: when can we construct a hyperplane that separates the sets? ...
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Finding Duplicates in a Data Stream. Parikshit Gopalan MSR-Silicon Valley ... Main Result: A one-pass randomized algorithm for finding duplicates in O(log m)3 space. ...
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Testing of two variants of the harmonic inversion method on the territory of the eastern part of Slovakia
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Construct the shallow cutting. Efficiently report all regions stabs by the points ... orthogonal to the xd-axis. Solve the problem recursively on each hyperplane. ...
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Reductions to the Noisy Parity Problem. TexPoint fonts used in EMF. ... Main Idea: A noisy parity algorithm can help find large Fourier coefficients ...
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Ellipsoidal methods are used to compute forward and backward reach sets of ... It can be verified if computed reach sets intersect with given ellipsoids, ...
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Given a BBD-tree for a set of data points in Rd, the number of leaf cells of size at least s0 intersecting a ... triangular data structure; PSLG; splay tree; ...
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Geophysical Exploration for Geothermal Pre-Feasibility Studies in Nevis Gravity and Self Potential Geophysics By Frank Dale Morgan Geo-Caribes Technical Team &
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The PSciCo Project: Parallel Scientific Computing in ML Robert Harper Carnegie Mellon University August, 2000
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... that C and D are compact (i.e., closed and bounded). The ... We obtain a family C of compact convex sets. Each Ci contains more than dn/(d 1) points of X. ...
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2D Viewing Contents 3D Rendering Pipeline 2D Rendering Pipeline Clipping Cohen-Sutherland Line Clipping Sutherland ...
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(special case where B is vacuous is that polytope is polyhed. ... Pf) For P = , take p = q = 0, i.e. B, C vacuous. Otherwise, again homogenize and consider ...
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Magnetotelluric Method Stephen Park IGPP UC Riverside magneto@ucrmt.ucr.edu So, what is the magnetotelluric method? The magnetotelluric (MT) method determines the ...
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Simplex Algorithm: An ... A Central Result of LP Theory Duality Theorem Every linear program has a dual If the original is a minimization, the dual is a maximization ...
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