Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Joseph Yadegar"'
Publikováno v:
VCIP
This paper presents a novel content-adaptive image compression system. Utilizing a pattern-driven model, we explore the synergy between content-based analysis and compression. For a given image, disparate low-level visual patterns are automatically s
Publikováno v:
SSP
Active learning is a useful tool for in-situ learning and adaptive classification systems. While traditional active learning is focused mostly on the single-sample mode, the batch mode of active learning is more interactions efficient. This paper pro
Autor:
Hector J. Gonzalez, Hai Wei, Joseph Yadegar, Lei Zhang, Sakina Zabuawala, Julio de la Cruz, Jiejie Zhu
Publikováno v:
ISM
This paper presents a novel adaptive pattern-driven approach for compressing large-area high-resolution terrain data. Utilizing a pattern-driven model, the proposed approach achieves efficient terrain data reduction by modeling and encoding disparate
Publikováno v:
Infotech@Aerospace 2011.
Remotely Piloted Aircraft (RPA), otherwise known as Unmanned Aircraft Systems (UAS), need access to the National Airspace (NAS). For this to happen, a robust and reliable Sense and Avoid (SAA) technology that can simultaneously detect and track coope
Publikováno v:
DCC
This paper presents a novel pattern-driven image compression technique for exploring the synergy between content-based analysis and compression. Within the pattern-driven paradigm, image data are considered as relational and classifiable entities, wh
Autor:
Hieu Nguyen, Jim Utt, Anurag Ganguli, Prakash Ramu, Jake Porway, Bonnie Schwartz, Joseph Yadegar
Publikováno v:
AIAA Infotech@Aerospace 2010.
Unmanned Aircraft Systems (UAS) are becoming indispensable tools for a huge number of aeronautic tasks, such as data collection and wide area surveillance. Currently, however, UAS face limitations on their utilization in civil airspace because they h
Autor:
Sharath Avadhanam, Abhishek Tiwari, Aditya Kothari, Matthew Compton, Kenneth M. Hopkinson, Anurag Ganguli, Joseph Yadegar
Publikováno v:
MILCOM 2009 - 2009 IEEE Military Communications Conference.
The Department of Defense (DoD) is making strides toward Network Centric Warfare. In modern warfare, information superiority and situational awareness is vital to superiority on the battlefield. That is, whoever can pass relevant information between
Autor:
Joseph Yadegar, Anurag Ganguli, Bao-Hong Shen, Gregory Hadynski, Niyant Krishnamurthi, Abhishek Tiwari
Publikováno v:
MILCOM 2009 - 2009 IEEE Military Communications Conference.
Active topology management in the future Airborne Networks (AN) can provide improved overall network throughput, efficiency, and scalability and is critical due to the high degree of platform dynamics involved. The RF links that form an airborne netw
Autor:
Bao-Hong Shen, Harish Chandra, Joseph Yadegar, Abhishek Tiwari, Mani Srivastava, Shuli Xu, Zvi Topol, Jahn A. Luke
Publikováno v:
Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing.
Wireless Sensor Networks (WSNs) are systems that may contain hundreds to thousands of low-power and low-cost sensor nodes. The potential applicability of such systems is enormous; security surveillance and intrusion detection systems for smart buildi
Autor:
Sakina Zabuawala, John F. McCalmont, Hai Wei, James Utt, Karthik Mahesh Varadarajan, David Gray, Jacob Yadegar, Joseph Yadegar
Publikováno v:
Visual Information Processing
The effectiveness of autonomous munitions systems can be enhanced by transmitting target images to a man-in-the-loop (MITL) as the system deploys. Based on the transmitted images, the MITL could change target priorities or conduct damage assessment i