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This paper investigates the problem of cross-modal retrieval, where users can search results across various modalities by submitting any modality of query. Since the query and its retrieved results can be of different modalities, how to measure the content similarity between different modalities of data remains a challenge. To address this problem, we propose a joint graph regularized multi-modal...
The markerless vision-based human motion parameters capturing has been widely applied for human-machine interface. However, it faces two problems: the high-dimensional parameter estimation and the self-occlusion. Here, we propose a 3-D human model with structural, kinematic, and temporal constraints to track a walking human object in any viewing direction. Our method modifies the Annealed Particle...
Time-based localization by terrestrial cellular mobile radio as a complement to global navigation satellite systems has gained significant attention. However, under non-line-of-sight (NLoS) conditions, the performance of positioning receivers is degraded by an additional bias. This NLoS bias is defined as the additional propagation distance between the first detectable path and the geometric line...
This paper studies the spatial correlation in the sensing data gathered by densely deployed sensors. We first show that the joint entropy of a cluster of sensor nodes can be calculated through the covariance matrix of their readings when they are gaussian distributed. Then, two kinds of correlation patterns in the physical world are studied, and we show these two patterns have fundamental different...
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