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Despite their enormous size and power, today's artificial intelligence systems routinely fail to distinguish between hallucination and reality. Autonomous driving systems can fail to perceive pedestri...
This paper describes the mathematical basis and application of a probabilistic model for recovering the direction of camera trans-lation (heading) from optical flow. According to the theorem that head...
On-line Analytical Processing (OLAP) techniques commonly used in data warehouses allow the exploration of data cubes according to different analysis axes (dimensions) and under different abstraction l...
We describe NRC's submission to the Anomaly Detection/Text Mining competition organised at the Text Mining Workshop 2007. This submission relies on a straightforward implementation of the probabilisti...
Motion segmentation is the task of assigning a binary label to every pixel in an image sequence specifying whether it is a moving foreground object or stationary background. It is often an important t...
Schenkerian music theory supposes that Western tonal compositions can be viewed as hierarchies of musical objects. The process of Schenkerian analysis reveals this hierarchy by identifying connections...
People with motor disabilities often face substantial challenges using interfaces designed for manual interaction. Although such obstacles might be partially alleviated by automatic speech recognition...
Network lifetime maximization is a critical problem for longterm data collection in wireless sensor networks. For large-scale networks, distributed and self-adaptive solutions are highly desired. In t...
Formal verification is fundamental in many phases of digital systems design. The most successful verification procedures employ Ordered Binary Decision Diagrams (OBDDs) as canonical representation for...
This paper presents a knowledge learning diagnostic approach implemented in an educational system. Probabilistic inference is used here to diagnose knowledge understanding level and to reason about pr...
This paper presents reliability and availability analyses of a model representing a system having one robot and n-redundant safety units with common-cause failures. At least k safety units must functi...
Impact analysis is an essential part of change management. Without adequate analysis it is not possible to confidently determine the extent, complexity and cost of proposed changes 10 a software syste...
This paper considers the semantic gap in content-based image retrieval from two aspects: (1) irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsupe...
AbstractThis paper proposes PLPD, a novel percolation-based probabilistic reliable dissemination protocol for information dissemination among a group of nodes in a MANET. Being different from other pr...
This paper present a novel method for robust illumination-tolerant face recognition based on the Gabor phase and a probabilistic similarity measure.Invited by the work in Eigenphases [1] by using the ...

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