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1DroneKit by 3D Robotics
http://dronekit.io/
9 months ago by @vpavlovic
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1GitHub - uavster/mavwork: Framework for control of heterogeneous drones from a unified API.
https://github.com/uavster/mavwork
9 months ago by @vpavlovic
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1GitHub - jespestana/MultirotorController4mavwork: General controller architecture to achieve speed, position or trajectory control of a Multirotor. The implementations is compatible with MAVwork (https://github.com/uavster/mavwork) and with the following multirotors: AR Drone 1, Asctec Pelican and Uastech LinkQuad.
https://github.com/jespestana/MultirotorController4mavwork
9 months ago by @vpavlovic
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2Generalized Similarity Kernels for Efficient Sequence Classification
P. Kuksa, I. Khan, and V. Pavlovic. Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012., page 873-882. (2012)33\% contribution.
9 months ago by @vpavlovic
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2Improved sequence classification using adaptive segmental sequence alignment
S. Shariat, and V. Pavlovic. Proceedings of the 4th Asian Conference on Machine Learning, ACML 2012, Singapore, Singapore, November 4-6, 2012, page 379-394. (2012)50\% contribution.
9 months ago by @vpavlovic
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1Face Tracking and Recognition with Visual Constrains
M. Kim, S. Kumar, V. Pavlovic, and H. Rowley. DCS-TR-623. Rutgers University, Dept. of Computer Science, (December 2007)
9 months ago by @vpavlovic
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1A Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity
R. Walecki, O. Rudovic, V. Pavlovic, and M. Pantic. IEEE Trans. Affective Computing (2017)Under review. 25\% contribution..
9 months ago by @vpavlovic
copula_modelsemotion_modelingexpression_intensity_estimationmyownordinal_models
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2Time Series Classification Using Mixed-State Dynamic Bayesian Networks
V. Pavlovic, B. Frey, and T. Huang. IEEE Conf. Computer Vision and Pattern Recognition, Ft. Collins, CO, (1999)33\% contribution. Oral presentation, N/A acceptance rate..
9 months ago by @vpavlovic
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2Discovering Clusters in Motion Time-Series Data
J. Alon, S. Sclaroff, G. Kollios, and V. Pavlovic. IEEE Conf. Computer Vision and Pattern Recognition, Madison, WI, (June 2003)25\% contribution. Poster, 23.6\% acceptance rate..
9 months ago by @vpavlovic
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1A Shape-based Approach for Saliency Object Detection using Deep Learning
J. Kim, and V. Pavlovic. Proc. European Conf. Computer Vision, (October 2016)50\% contribution..
9 months ago by @vpavlovic
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2Stochastic noise process enhancement of Hopfield neural networks
V. Pavlovic, D. Schonfeld, and G. Friedman. IEEE Trans. Circuits and Systems II 52 (4): 213-217 (April 2005)50\% contribution..
9 months ago by @vpavlovic
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1Sparse Logistic Classifiers for Interpretable Protein Homology Detection
P. Huang, and V. Pavlovic. International Workshop on Datamining in Bioinformatics, IEEE Int'l Conf. Datamining (ICDM), page 99-103. Hong Kong, (December 2006)50\% contribution. Oral presentation, 21.2\% acceptance rate.
9 months ago by @vpavlovic
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4Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
P. Kuksa, Y. Qi, B. Bai, R. Collobert, J. Weston, V. Pavlovic, and X. Ning. (October 2010)15\% contribution.
9 months ago by @vpavlovic
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1Distributed Probabilistic Learning for Camera Networks
S. Yoon, and V. Pavlovic. DCS-TR-696. Rutgers, (June 2012)
9 months ago by @vpavlovic
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1Sea-Level Estimation using the Riemannian Manifold and a Non-stationary Covariance Function
C. Dalal, V. Pavlovic, and R. Kopp. Proc. Climate Informatics 2015, (2015)33% contribution.
9 months ago by @vpavlovic
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2Protein homology detection with biologically inspired features and interpretable statistical models
P. Huang, and V. Pavlovic. Int. J. Data Min. Bioinformatics 2 (2): 157-175 (2008)50\% contribution.
9 months ago by @vpavlovic
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2Boosted Bayesian network classifiers
Y. Jing, V. Pavlovic, and J. Rehg. Machine Learning Journal (November 2008)33\% contribution.
9 months ago by @vpavlovic
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1Real-Time Algorithms: From Signal Processing to Computer Vision
B. Kisacanin, and V. Pavlovic. Real-Time Vision for Human-Computer Interaction, Springer, 50\% contribution..(2005)
9 months ago by @vpavlovic
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2Efficient use of unlabeled data for protein sequence classification: a comparative study
P. Kuksa, P. Huang, and V. Pavlovic. BMC Bioinformatics (2009)
9 months ago by @vpavlovic
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2Sentiment Flow for Video Interestingness Prediction
S. Yoon, and V. Pavlovic. Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia, page 29-34. New York, NY, USA, ACM, (2014)50\% contribution.
9 months ago by @vpavlovic
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1Bayesian Networks as Ensemble of Classifiers
A. Garg, and V. Pavlovic. ICPR, Quebec City, Quebec, (2002)50\% contribution. Oral presentation, 20.2\% acceptance rate.
9 months ago by @vpavlovic
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2A comparative genomic method for computational identification of prokaryotic translation initiation sites
M. Walker, V. Pavlovic, and S. Kasif. Nucleic Acids Research 30 (14): 3181-91 (July 2002)33\% contribution..
9 months ago by @vpavlovic
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1Robust tracking of articulated layers
K. Moon, and V. Pavlovic. Vision for HCI Workshop, San Diego, CA, (June 2005)50\% contribution. Oral presentation, 23\% acceptance rate.
9 months ago by @vpavlovic
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BibSonomy

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1DroneKit by 3D Robotics

1GitHub - uavster/mavwork: Framework for control of heterogeneous drones from a unified API.

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2Generalized Similarity Kernels for Efficient Sequence Classification

2Improved sequence classification using adaptive segmental sequence alignment

1Face Tracking and Recognition with Visual Constrains

1A Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity

2Time Series Classification Using Mixed-State Dynamic Bayesian Networks

2Discovering Clusters in Motion Time-Series Data

1A Shape-based Approach for Saliency Object Detection using Deep Learning

2Stochastic noise process enhancement of Hopfield neural networks

1Sparse Logistic Classifiers for Interpretable Protein Homology Detection

4Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction

1Distributed Probabilistic Learning for Camera Networks

1Sea-Level Estimation using the Riemannian Manifold and a Non-stationary Covariance Function

2Protein homology detection with biologically inspired features and interpretable statistical models

2Boosted Bayesian network classifiers

1Real-Time Algorithms: From Signal Processing to Computer Vision

2Efficient use of unlabeled data for protein sequence classification: a comparative study

2Sentiment Flow for Video Interestingness Prediction

1Bayesian Networks as Ensemble of Classifiers

2A comparative genomic method for computational identification of prokaryotic translation initiation sites

1Robust tracking of articulated layers

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