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1DroneKit by 3D Robotics
http://dronekit.io/
a year 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
a year 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
a year ago by @vpavlovic
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1PUnDA: Probabilistic Unsupervised Domain Adaptation
B. Gholami, O. Rudovic, and V. Pavlovic. Proc. IEEE International Conference Computer Vision, (2017)
a year ago by @vpavlovic
domain_adaptationmyownunsupervised
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1A fast, semi-supervised learning method for protein sequence classification
P. Kuksa, P. Huang, and V. Pavlovic. 8th International Workshop on Data Mining in Bioinformatics (BIOKDD 2008), page 29-37. Las Vegas, NV, (August 2008)Acceptance 30\% (8/25).
a year ago by @vpavlovic
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2Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty
C. Song, S. Yoon, and V. Pavlovic. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, page 753--759. Phoenix, Arizona, USA., (February 2016)33\% contribution.
a year ago by @vpavlovic
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2Spatial Representation for Efficient Sequence Classification
P. Kuksa, and V. Pavlovic. (August 2010)50\% contribution.
a year ago by @vpavlovic
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2Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes
H. Pham, C. Chen, L. Nguyen, V. Pavlovic, J. Cai, and T. Cham. International Journal of Computer Vision (2015)under review; 25\% contribution.
a year 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..
a year ago by @vpavlovic
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3Semi-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.
a year ago by @vpavlovic
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2Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units
O. Rudovic, V. Pavlovic, and M. Pantic. IEEE Trans. Pattern Anal. Mach. Intell. 37 (5): 944-958 (2015)33\% contribution.
a year ago by @vpavlovic
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2Dynamic Probabilistic CCA for Analysis of Affective Behaviour
M. Nicolaou, V. Pavlovic, and M. Pantic. Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VII, page 98-111. (2012)33\% contribution.
a year ago by @vpavlovic
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2Dimensionality Reduction using Covariance Operator Inverse Regression
M. Kim, and V. Pavlovic. IEEE Conf. Computer Vision and Pattern Recognition, Anchorage, AK, (June 2008)
a year ago by @vpavlovic
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1Boosted learning in dynamic Bayesian networks for multimodal speaker detection
A. Garg, V. Pavlovic, and J. Rehg. Proc. of the IEEE 91 (9): 1355-1369 (September 2003)33\% contribution..
a year ago by @vpavlovic
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1D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM
B. Babagholami, S. Yoon, and V. Pavlovic. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, page 1582--158. Phoenix, Arizona, USA., (February 2016)33\% contribution.
a year ago by @vpavlovic
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1Covariance Kernels and Dimensionality Reduction for Regression
M. Kim, and V. Pavlovic. DCS-TR-622. Rutgers University, Dept. of Computer Science, (December 2007)
a year ago by @vpavlovic
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2Efficient discriminative learning of Bayesian network classifier via Boosted Augmented Naive Bayes
Y. Jing, V. Pavlovic, and J. Rehg. International Conf. Machine Learning, Bonn, Germany, (August 2005)Distinguished student paper award. 33\% contribution. Oral presentation, 27.3\% acceptance rate.
a year ago by @vpavlovic
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1Speech/gesture-based human computer interface in virtual environments
T. Huang, V. Pavlovic, and R. Sharma. Workshop on Integration of Gestures, Speech, and Language, Wilmington, DE, (October 1996)33\% contribution. N/A acceptance rate.
a year ago by @vpavlovic
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1Transform image coding based on joint adaptation of filer banks and tree structures
P. Moulin, K. Ramchandran, and V. Pavlovic. IEEE Int'l Conf. Image Processing, Laussanne, Switzerland, (1996)33\% contribution. Oral presentation, N/A acceptance rate..
a year 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)
a year ago by @vpavlovic
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1Gaussian Process for Noisy Inputs with Ordering Constraints
C. Tran, V. Pavlovic, and R. Kopp. arXiv, (2015)33\% contribution.
a year 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.
a year ago by @vpavlovic
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2Model-based motion clustering using boosted mixture modeling
V. Pavlovic. Proc. CVPR, Washington, DC, (July 2004)100\% contribution. Poster, 23.6\% acceptance rate.
a year 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.

publications (hide)186
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1PUnDA: Probabilistic Unsupervised Domain Adaptation

1A fast, semi-supervised learning method for protein sequence classification

2Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty

2Spatial Representation for Efficient Sequence Classification

2Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes

2Stochastic noise process enhancement of Hopfield neural networks

3Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction

2Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units

2Dynamic Probabilistic CCA for Analysis of Affective Behaviour

2Dimensionality Reduction using Covariance Operator Inverse Regression

1Boosted learning in dynamic Bayesian networks for multimodal speaker detection

1D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM

1Covariance Kernels and Dimensionality Reduction for Regression

2Efficient discriminative learning of Bayesian network classifier via Boosted Augmented Naive Bayes

1Speech/gesture-based human computer interface in virtual environments

1Transform image coding based on joint adaptation of filer banks and tree structures

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

1Gaussian Process for Noisy Inputs with Ordering Constraints

1Bayesian Networks as Ensemble of Classifiers

2Model-based motion clustering using boosted mixture modeling

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