We report our system and experiments for the realtime Adhoc task in the 2011 MicroBlog track. Our goal is to develop effective technique to retrieve relevant tweets that have been posted recently. In particular, we propose a time-­sensitive term weighting strategy that can favor tweets in hot-­discussed time and a document length related weighting method that can favor long tweets which are mor...

Music sequences can be treated as texts in order to perform music retrieval tasks on them. However, the text search problems that result from this modeling are unique to music retrieval. Up to date, several approaches derived from classical string matching have been proposed to cope with the new search problems, yet each problem had its own algorithms. In this paper we show that a technique rec...

Time series representations are common in MIR applications such as query-by-humming, where a sung query might be represented by a series of ‘notes’ for database retrieval. While such a transcription into a sequence of (pitch, duration) pairs is convenient and musically intuitive, there is no evidence that it is an optimal representation. The present work explores three time series representatio...

objective: strong evidence indicate that activity of glucocorticoid receptors is necessary for emotional memory processess and these effects probably are mediated by hipppocampal opioid receptors. the aim of this study was to test whether there were any interaction between glucocorticoid and hippocampal opiate receptors on consolidtaion and retrieval of spatial memory. materials and methods: in...

Experimental evidence shows that certain types of visual information processing, such as face recognition, may be extremely rapid: in a few tens of milliseconds a neuron may yield most of the information about a visual stimulus that can ever be extracted from the response of that neuron. These data might be taken to indicate that there is insufficient time for recurrent or feedback processing. ...

In this paper we introduce a novel dynamic programming algorithm called Information Retrieval-based Dynamic Time Warping (IR-DTW) used to find non-linearly matching subsequences between two time series where matching start and end points are not known a priori. In this paper our algorithm is applied for audio matching within the query by example (QbE) spoken term detection (STD) task, although ...

In the compressive phase retrieval problem, or phaseless compressed sensing, or compressed sensing from intensity only measurements, the goal is to reconstruct a sparse or approximately k-sparse vector x ∈ R given access to y = |Φx|, where |v| denotes the vector obtained from taking the absolute value of v ∈ R coordinate-wise. In this paper we present sublinear-time algorithms for different var...

In this paper we introduce a novel dynamic programming algorithm called Information Retrieval-based Dynamic Time Warping (IR-DTW) used to find non-linearly matching subsequences between two time series where matching start and end points are not known a priori. In this paper our algorithm is applied for audio matching within the query by example (QbE) spoken term detection (STD) task, although ...

A just-in-time information retrieval agent (JITIR agent) is software that proactively retrieves and presents information based on a person's local context in an easily accessible yet nonintrusive manner. This paper describes three implemented JITIR agents: the Remembrance Agent, Margin Notes, and Jimminy. Theory and design lessons learned from these implementations are presented, drawing from b...

Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...