BACKGROUND Sentinel surveillance has previously been used to monitor and identify disease outbreaks in both human and animal contexts. Three approaches for the selection of sentinel sites are proposed and evaluated regarding their ability to capture overall respiratory disease trends using provincial abattoir condemnation data from all abattoirs open throughout the study for use in a sentinel s...

Numerous applications, such as bank transactions, road traffic, and news feeds, generate temporal datasets, in which data evolves continuously. To understand the temporal behavior and characteristics of the dataset and its elements, we need effective tools that can capture evolution of the objects. In this paper, we propose a novel and important problem in evolution behavior discovery. Given a ...

While qualitative analyses of the problems involved in building natural language interfaces (NLIs) have been available, a quantitative grounding in empirical data has been missing. We fill this gap by providing a quantitative analysis on the basis of the Geobase dataset. We hope that this analysis can guide further research in NLIs.

The overview-driven visual analysis of large-scale dynamic graphs poses a major challenge. We propose Multiscale Snapshots, analytics approach to analyze temporal summaries at multiple scales. First, we recursively generate abstract overlapping sequences into compact snapshots. Second, apply graph embeddings the snapshots learn low-dimensional representations each sequence speed up specific ana...

Intent-aware approaches to diversification have been proposed in the last years to provide the user with a list of recommendations covering different aspects of her behavior. In this paper, we present two diversification methods taking into account temporal aspects of the user profile: in the first one, in order to emphasize the importance of more recent items, we adopt a temporal decay functio...

We propose a deep hashing framework for sketch retrieval that, for the first time, works on a multi-million scale human sketch dataset. Leveraging on this large dataset, we explore a few sketch-specific traits that were otherwise under-studied in prior literature. Instead of following the conventional sketch recognition task, we introduce the novel problem of sketch hashing retrieval which is n...

Groundtruth Bias – We render all images in the linear SFU Gray Ball Dataset with respect to the linear groundtruth provided by the color constancy benchmarking website [1]. Among all rendered images, we find a number of these not in intrinsic color and not consistent in illumination with the preceding frames (Figure 1), which indicates the corresponding “groundtruth” is biased. The biased “grou...

Most of the proposed person re-identification algorithms conduct supervised training and testing on single labeled datasets with small size, so directly deploying these trained models to a large-scale real-world camera network may lead to poor performance due to underfitting. It is challenging to incrementally optimize the models by using the abundant unlabeled data collected from the target do...