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- Directional Constraint Synopsis: Fixing OT’s Power Evaluation in
For this input (length 9), NoCoda assigns each output candidate a 10-tuple Possible because output is aligned with the input So each output violation associated with an input position Alignment to Input Split by input symbols, not syllables Tuple length = input length + 1, for all outputs Finite-State Approach
- Slide 1
Definition: Given a set of points = { 1, , }, ( ) is a triangulation of if it is a partition of the convex hull of into disjoint triangles whose vertices are exactly the points of
- Hopkins Department of Applied Mathematics and Statistics
Created Date9 27 2006 2:23:45 PM
- Directional Constraint Evaluation in Optimality Theory
Recall that OT's constraint ranking mechanism is an answer to the question: How can a gram-mar evaluate a form by aggregating its viola-tions of several constraints?
- Lecture 11. Kernel PCA and Multidimensional Scaling (MDS)
This projection constraint is imposed on the dot products ~xi ~xj ~yi ~yj, which will imply the result Key Result: we only need to know ij = j~xi ~xjj in order to calculate ~xi ~xj (i e we only need to know the distances between points and not their positions ~x)
- Constrained Delaunay Triangulations
contain one or more vertices the strips -r The contents of a strip and the contents that we keep track of Merging the regions of two adjacentstrips this point, two parts of the CDT algrothm require further explanation: (1) how to At As we move from top to bottom in the combined strip, we start a new region whenever either
- Subspaces - Mathematics
1 Introduction We all know what Vector Spaces are (ie R, R2 , R3, etc) and we also know that they have many properties A few of the most important are that Vector Spaces are closed both under addition and scalar multiplication What does that mean? Being closed under addition means that if we took any vectors x1 and x2 and added them together, their sum would also be in that vector space
- Lecture 10: The Lambertian Re ectance Model
Any surface must obey the { apparently trivial { constraint that if you travel in a closed loop on the surface you end up with the same height that you started with (FIGURE!!)
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