First-Order Extension of the FLP Stable Model

... 1 (u, v, w)) can be equivalently rewritten without second-order variables as ¬(p ↔ q) ∧ (r ↔ p ∨ q). Though rule arrows (←) are treated like usual implications in the FOL-representation of Π, they are distinguished in the definition of Π4 (u) because of the presence of ’B∧’ in (7). If we modify Π4 ( ...

... 1 (u, v, w)) can be equivalently rewritten without second-order variables as ¬(p ↔ q) ∧ (r ↔ p ∨ q). Though rule arrows (←) are treated like usual implications in the FOL-representation of Π, they are distinguished in the definition of Π4 (u) because of the presence of ’B∧’ in (7). If we modify Π4 ( ...

Recognizing solid objects by alignment with an image

... point, for m model points and n image points there are (~)(~)3! possible different alignments, resulting from pairing each triple of model points with each triple of image points. Thus for point features the worst-case number of hypotheses is O(m3n3). The implementation that we describe below relies ...

... point, for m model points and n image points there are (~)(~)3! possible different alignments, resulting from pairing each triple of model points with each triple of image points. Thus for point features the worst-case number of hypotheses is O(m3n3). The implementation that we describe below relies ...

An investigation on local wrinkle-based extractor of age estimation

... non-surgical procedures aimed to improve the appearance of skin (Khavkin and Ellis, 2011). It is also useful in age synthesis and skin rejuvenation. Knowledge of skin histology will deepen the understanding of cutaneous changes associated with ageing and will promote optimal cosmetic and functional ...

... non-surgical procedures aimed to improve the appearance of skin (Khavkin and Ellis, 2011). It is also useful in age synthesis and skin rejuvenation. Knowledge of skin histology will deepen the understanding of cutaneous changes associated with ageing and will promote optimal cosmetic and functional ...

Using Natural Image Priors

... applied to linear filters learned specifically for this task (similar to the exponential family form in equation 1.2) where the local filters and the nonlinear functions are learned using contrastive divergence. Given a noisy image, the MAP image can be inferred using gradient ascent on the posterio ...

... applied to linear filters learned specifically for this task (similar to the exponential family form in equation 1.2) where the local filters and the nonlinear functions are learned using contrastive divergence. Given a noisy image, the MAP image can be inferred using gradient ascent on the posterio ...

Learning with Hierarchical-Deep Models

... superclasses for sharing abstract knowledge among related classes via a prior on which higher level features are likely to be distinctive for classes of a certain kind and are thus likely to support learning new concepts of that kind. We evaluate the compound HDP-DBM model on three different percept ...

... superclasses for sharing abstract knowledge among related classes via a prior on which higher level features are likely to be distinctive for classes of a certain kind and are thus likely to support learning new concepts of that kind. We evaluate the compound HDP-DBM model on three different percept ...

Poster - The University of Manchester

... I From the joint likelihood we derive information theoretic criteria which maximise the likelihood with respect to the selected features. I We show that the IAMB algorithm [3] for Markov Blanket discovery also optimises this model, using a sparsity prior. I Finally we extend IAMB to include a domain ...

... I From the joint likelihood we derive information theoretic criteria which maximise the likelihood with respect to the selected features. I We show that the IAMB algorithm [3] for Markov Blanket discovery also optimises this model, using a sparsity prior. I Finally we extend IAMB to include a domain ...

various object recognition techniques for computer vision

... sizes / scale or even when they are translated or rotated. Objects can even be recognized when they are partially obstructed from view. This task is still a challenge for computer vision systems. Recognition remains challenging in large part due to the significant variations exhibited by real-world ...

... sizes / scale or even when they are translated or rotated. Objects can even be recognized when they are partially obstructed from view. This task is still a challenge for computer vision systems. Recognition remains challenging in large part due to the significant variations exhibited by real-world ...

Unsupervised Object Counting without Object Recognition

... a straightforward approach would be to perform explicit object detection [5], [7], [12]–[14]. Also, regression-based approaches have been proposed, which translate the image features into the number of objects with a regression model [8], [15], [16]. These approaches require labeled training data, w ...

... a straightforward approach would be to perform explicit object detection [5], [7], [12]–[14]. Also, regression-based approaches have been proposed, which translate the image features into the number of objects with a regression model [8], [15], [16]. These approaches require labeled training data, w ...

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 ...

A Decision Procedure for a Fragment of Linear Time Mu

... Gµ formulas and prove that every closed formula can be transformed into this form. GPF decomposes a formula into the present and future parts. The present part is the conjunction of atomic propositions or their negations while the future part is the conjunction of elements in the closure of a given ...

... Gµ formulas and prove that every closed formula can be transformed into this form. GPF decomposes a formula into the present and future parts. The present part is the conjunction of atomic propositions or their negations while the future part is the conjunction of elements in the closure of a given ...

from Converse PDL - School of Computer Science

... We show that is possible to eliminate the "converse" operator from CPDL, without compromising the soundness and completeness of inference for it. Specifically we present an intuitive encoding of CPDL formulae into PDL that eliminates the converse programs from a CPDL formula, but adds enough informa ...

... We show that is possible to eliminate the "converse" operator from CPDL, without compromising the soundness and completeness of inference for it. Specifically we present an intuitive encoding of CPDL formulae into PDL that eliminates the converse programs from a CPDL formula, but adds enough informa ...

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 ...