A Decision Procedure for a Fragment of Linear Time Mu
... from being used directly as goal formulas for planning. Given a formula , the logic Gµ we present in this paper stipulates, for each least fixpoint subformula F of and each formula of the form 1 ^ 2 in the closure of , that F appears at most in one conjunct of 1 ^ 2 . Despite this restriction, Gµ is ...
... from being used directly as goal formulas for planning. Given a formula , the logic Gµ we present in this paper stipulates, for each least fixpoint subformula F of and each formula of the form 1 ^ 2 in the closure of , that F appears at most in one conjunct of 1 ^ 2 . Despite this restriction, Gµ is ...
Using fuzzy temporal logic for monitoring behavior
... value of the proposition V isibleBall will be a real number between 0 and 1 reflecting our incapacity to draw clear boundaries between thruthness and falseness of a proposition. This allows us to include fuzzy statements such as “slightly visible” or “completely visible”. On the other hand, it is no ...
... value of the proposition V isibleBall will be a real number between 0 and 1 reflecting our incapacity to draw clear boundaries between thruthness and falseness of a proposition. This allows us to include fuzzy statements such as “slightly visible” or “completely visible”. On the other hand, it is no ...
Learning to Parse Images
... Neal [4] introduced generative models composed of multiple layers of stochastic logistic units connected in a directed acyclic graph. In general, as each unit has multiple parents, it is intractable to compute the posterior distribution over hidden variables when certain variables are observed. Howe ...
... Neal [4] introduced generative models composed of multiple layers of stochastic logistic units connected in a directed acyclic graph. In general, as each unit has multiple parents, it is intractable to compute the posterior distribution over hidden variables when certain variables are observed. Howe ...
from Converse PDL - School of Computer Science
... the converse programs from a CPDL formula, but adds enough information so as not to destroy its original meaning with respect to satisfiability, validity, and logical implication. Notably the resulting PDL formula is polynomially related to the original one. This encoding on the one hand helps to be ...
... the converse programs from a CPDL formula, but adds enough information so as not to destroy its original meaning with respect to satisfiability, validity, and logical implication. Notably the resulting PDL formula is polynomially related to the original one. This encoding on the one hand helps to be ...
various object recognition techniques for computer vision
... Appearance-based object recognition systems are currently the most successful approach for dealing with 3D recognition of arbitrary objects in the presence of clutter and occlusion. For appearance-based models, only the appearance is used, which is usually captured by different two-dimensional views ...
... Appearance-based object recognition systems are currently the most successful approach for dealing with 3D recognition of arbitrary objects in the presence of clutter and occlusion. For appearance-based models, only the appearance is used, which is usually captured by different two-dimensional views ...
Term Project Color and Illumination Independent Landmark
... • SURF computation took an average of 56ms on ...
... • SURF computation took an average of 56ms on ...
pattern recognition - CIS @ Temple University
... recognition systems when processing and locating fingerprints. All humans have a unique fingerprint and this trait is used to solve many crimes. With pattern recognition technology, authorities are able to process and categorize fingerprint patterns. There is useful information available relating to ...
... recognition systems when processing and locating fingerprints. All humans have a unique fingerprint and this trait is used to solve many crimes. With pattern recognition technology, authorities are able to process and categorize fingerprint patterns. There is useful information available relating to ...
Serre-Poggio_ACM_R2_finalSubmission
... One key computational issue in object recognition1 is Figure 1: The problem of sample complexity. A hypothetical 2-dimensional (face) the specificity-invariance trade-off. On the one hand, classification problem (red) line: One category is represented with “+” and the other with recognition must be ...
... One key computational issue in object recognition1 is Figure 1: The problem of sample complexity. A hypothetical 2-dimensional (face) the specificity-invariance trade-off. On the one hand, classification problem (red) line: One category is represented with “+” and the other with recognition must be ...
cs621-lect27-bp-applcation-logic-2009-10-15
... Figure : Explanation of dermatophytosis diagnosis using the DESKNET expert system. ...
... Figure : Explanation of dermatophytosis diagnosis using the DESKNET expert system. ...
Small Codes and Large Image Databases for Recognition
... millions of images into a few GB of memory means we have a budget of very few bytes per image. – short binary codes allow very fast querying in standard hardware, either using hash tables or efficient bit-count operations ...
... millions of images into a few GB of memory means we have a budget of very few bytes per image. – short binary codes allow very fast querying in standard hardware, either using hash tables or efficient bit-count operations ...
x - inst.eecs.berkeley.edu
... Recap: Nearest-Neighbor Nearest neighbor: Classify test example based on closest training example Requires a similarity function (kernel) Eager learning: extract classifier from data Lazy learning: keep data around and predict from it at test time ...
... Recap: Nearest-Neighbor Nearest neighbor: Classify test example based on closest training example Requires a similarity function (kernel) Eager learning: extract classifier from data Lazy learning: keep data around and predict from it at test time ...
slides - Stanford Computer Science
... As a mathematical discipline travels far from its empirical source, or still more, if it is a second and third generation only indirectly inspired from ideas coming from 'reality', it is beset with very grave dangers. It becomes more and more purely aestheticizing, more and more purely l'art pour l' ...
... As a mathematical discipline travels far from its empirical source, or still more, if it is a second and third generation only indirectly inspired from ideas coming from 'reality', it is beset with very grave dangers. It becomes more and more purely aestheticizing, more and more purely l'art pour l' ...