Date of publication: 7 April 2014 S ource separation models that make use of nonnegativity in their parameters have been gaining increasing popularity in the last few years, spawning a significant number of publications on the topic. Although these techniques are conceptually similar to other matrix decompositions, they are surprisingly more effective in extracting perceptually meaningful sourc...

In this paper we present a new method for extracting spatialtemporal features of dynamic gestures. We fully utilize the information of temporal motion and spatial luminance. In the first two consecutive frame the dominant motion model is used to calculate the gesturing motion, then it is combined with the result of static segmentation to segment the gesturing hand or arm from the background. Th...

We demonstrate an original and successful approach for both resolving and generating definite anaphora. We propose and evaluate unsupervised models for extracting hypernym relations by mining cooccurrence data of definite NPs and potential antecedents in an unlabeled corpus. The algorithm outperforms a standard WordNet-based approach to resolving and generating definite anaphora. It also substa...

We consider the problem of anomaly detection in data streams, which is the problem of extracting subsequences that do not match an expected behaviour. The main challenge for detecting anomalous subsequences from data streams in the existing techniques is to determine the lengths of the normal and anomalous subsequences. Therefore, creating a robust model for detecting the anomalous subsequences...

We describe a tracking algorithm to address the interactions among objects, and to track them individually and confidently via a static camera. It is achieved by constructing an invariant bipartite graph to model the dynamics of the tracking process, of which the nodes are classified into objects and profiles. The best match of the graph corresponds to an optimal assignment for resolving the id...

The published scientific results should be reproducible, otherwise the scientific findings reported in the publications are less valued by the community. Several undertakings, like myExperiment, RunMyCode, or DIRECT, contribute to the availability of data, experiments, and algorithms. Some of these experiments and algorithms are even referenced or mentioned in later publications. Generally, res...

Studies on paraphrasing are important with respect to various research topics such as sentence generation, summarization, and question-answering. We consider the automatic extraction of synonyms (which are a kind of paraphrase) through the matching of word definitions from two dictionaries, and describe a new method for extracting paraphrases. Higher precision was obtained than with a conventio...

Information extraction (IE) from text has largely focused on relations between individual entities, such as who has won which award. However, some facts are never fully mentioned, and no IE method has perfect recall. Thus, it is beneficial to also tap contents about the cardinalities of these relations, for example, how many awards someone has won. We introduce this novel problem of extracting ...

Correlation structure is an important metric to consider when modeling the performance of network traffic. Particularly, the presence of long-range dependence (LRD) in the input process may, under some circumstances, lead to poor queueing performance. In this paper, we first aim to characterize the conditions under which the presence of LRD is performance relevant. We define variations of an ON...

This essay examines extractivism as both a project and process that is bolstering new forms of imperialism on world scale. It argues much grounded in material accumulation it cultural extraction to create value. The writings indigenous writers such Hansda Sowvendra Shekhar offer an important key understanding the work literary making visible resistant which seeks exploit for profit.