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Results 1 - 10
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1,320
Collaborative filtering with temporal dynamics
- In Proc. of KDD ’09
, 2009
"... Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are evolving, leading them to ever redefine their taste. Thus, modeling temporal dynamics should be a key when designing reco ..."
Abstract
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Cited by 246 (4 self)
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, which can make better distinctions between transient effects and long term patterns. The paradigm we offer is creating a model tracking the time changing behavior throughout the life span of the data. This allows us to exploit the relevant components of all data instances, while discarding only what
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms
, 2000
"... . Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classication accuracy, training time, and (in the case of trees) number of leaves. Classication accuracy is measured by mean error rate and mean rank of error rate. Both cr ..."
Abstract
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Cited by 234 (8 self)
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. Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classication accuracy, training time, and (in the case of trees) number of leaves. Classication accuracy is measured by mean error rate and mean rank of error rate. Both
DIMENSIONS: Why do we need a new Data Handling architecture for Sensor Networks?
, 2002
"... An important class of networked systems is emerging that involve very large numbers of small, low-power, wireless devices. These systems offer the ability to sense the environment densely, offering unprecedented opportunities for many scientific disciplines to obtain detailed datasets for analysis. ..."
Abstract
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Cited by 168 (13 self)
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that provides a unified view of data handling in sensor networks, incorporating long-term storage, multiresolution data access and spatio-temporal pattern mining.
The value of a long-term bushmeat market dataset as an indicator of system dynamics
- Environmental Conservation
, 2005
"... of system dynamics ..."
Monitoring gamebird abundance and productivity in the UK: The GWCT long-term datasets
, 2008
"... ..."
Global data association for multi-object tracking using network flows
- In CVPR
, 2008
"... We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped into a cost-flow network with a non-overlap constraint on trajectories. The optimal data association is found by a min-cost ..."
Abstract
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Cited by 145 (1 self)
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-cost flow algorithm in the network. The network is augmented to include an Explicit Occlusion Model(EOM) to track with long-term inter-object occlusions. A solution to the EOM-based network is found by an iterative approach built upon the original algorithm. Initialization and termination of trajectories
Object segmentation by long term analysis of point trajectories
- In Proc. European Conference on Computer Vision
, 2010
"... Abstract. Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. While pure bottom-up segmentation from static cues is well known to be ambiguous at the object level, the story ch ..."
Abstract
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Cited by 145 (9 self)
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changes as soon as objects move. In this paper, we present a method that uses long term point trajectories based on dense optical flow. Defining pair-wise distances between these trajectories allows to cluster them, which results in temporally consistent segmentations of moving objects in a video shot
From the cradle to the labor market? the effect of birth weight on adult outcomes.
- The Quarterly Journal of Economics,
, 2007
"... Abstract Lower birth weight babies have worse outcomes, both short-run in terms of oneyear mortality rates and longer run in terms of educational attainment and earnings. However, recent research has called into question whether birth weight itself is important or whether it simply reflects other h ..."
Abstract
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Cited by 140 (11 self)
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hard-to-measure characteristics. By applying within twin techniques using an unusually rich dataset from Norway, we examine the effects of birth weight on both short-run and long-run outcomes for the same cohorts. We find that birth weight does matter; despite short-run twin fixed effects estimates
Analysis of a long-term dataset of global and diffuse horizontal irradiance at northeastern Spain for energy applications
"... An accurate knowledge of the global, diffuse and direct beam irradiance at specific geographical locations in high temporal and spatial resolutions is a must requirement for the development of solar energy applications. Most available datasets comprise global irradiance, but it is not the case for d ..."
Abstract
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temporal variability, and analysis of high frequency sampling datasets provides very valuable information for energy applications. In this contribution, we present an analysis of a long-term dataset of ground measurements of global and diffuse irradiance over a period of 22 years (1986
The Role Of Citation Context In Predicting Long-Term Citation Profiles: An Experimental Study Based On A Massive Bibliographic Text Dataset
"... The impact and significance of a scientific publication is measured mostly by the number of citations it accumulates over the years. Early prediction of the citation profile of research articles is a sig-nificant as well as challenging problem. In this paper, we argue that features gathered from the ..."
Abstract
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the existing citation pre-diction models by a margin of 8-10 % on an average under various experimental settings. Specifically, the features derived from the citation context help in predicting long-term citation behavior.
Results 1 - 10
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