@article {12463,
	title = {Compressive Video Acquisition, Fusion and Processing},
	year = {2010},
	month = {2010/12/14/},
	abstract = {Modern developments in sensor technology, signal processing, and wireless communications have enabled the conception and deployment of large-scale networked sensing systems spanning numerous collection platforms and varied modalities. These systems have the potential to make intelligent decisions by integrating information from massive amounts of sensor data. Before such benefits can be achieved, significant advances must be made in methods for communicating, fusing, and processing this evergrowing volume of diverse data. In this one-year research project, we aimed to expose the fundamental issues and pave the way for further careful study of compressive approaches to video acquisition, fusion, and processing. In doing so, we developed a theoretical definition of video temporal bandwidth and applied the theory to compressive sampling and reconstruction. We created a new framework for compressive video sensing based on linear dynamical systems, lowering the compressive measurement rate. Finally, we applied our own joint manifold model to a variety of relevant image processing problems, demonstrating the model{\textquoteright}s effectiveness and ability to overcome noise and occlusion obstacles. We also showed how joint manifold models can discover an object{\textquoteright}s trajectory, an important step towards video fusion.},
	keywords = {*DATA FUSION, *DETECTORS, *SIGNAL PROCESSING, *VIDEO SIGNALS, ACQUISITION, COLLECTION, COMMUNICATION AND RADIO SYSTEMS, COMPRESSIVE PROPERTIES, COMPRESSIVE SAMPLING, compressive sensing, COMPRESSIVE VIDEO, decision making, DEPLOYMENT, DETECTION, DYNAMICS, IMAGE PROCESSING, Linear systems, Linearity, MANIFOLDS(ENGINES), measurement, MISCELLANEOUS DETECTION AND DETECTORS, MODELS, sampling, THEORY, TRAJECTORIES},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA533703},
	author = {Baraniuk,Richard G. and Chellapa, Rama and Wakin,Michael}
}
@conference {17989,
	title = {Algorithmic approach to designing an easy-to-program system: Can it lead to a HW-enhanced programmer{\textquoteright}s workflow add-on?},
	booktitle = {Computer Design, 2009. ICCD 2009. IEEE International Conference on},
	year = {2009},
	month = {2009/10//},
	pages = {60 - 63},
	abstract = {Our earlier parallel algorithmics work on the parallel random-access-machine/model (PRAM) computation model led us to a PRAM-On-Chip vision: a comprehensive many-core system that can look to the programmer like the abstract PRAM model. We introduced the eXplicit MultiThreaded (XMT) design and prototyped it in hardware and software. XMT comprises a programmer{\textquoteright}s workflow that advances from work-depth, a standard PRAM theory abstraction, to an XMT program, and, if desired, to its performance tuning. XMT provides strong performance for programs developed this way due to its hardware support of very fine-grained threads and the overhead of handling them. XMT has also shown unique promise when it comes to ease-of-programming, the biggest problem that has limited the impact of all parallel systems to date. For example, teachability of XMT programming has been demonstrated at various levels from rising 6<sup>th</sup> graders to graduate students, and students in a freshman class were able to program 3 parallel sorting algorithms. The main purpose of the current paper is to stimulate discussion on the following somewhat open-ended question. Now that we made significant progress on a system devoted to supporting PRAM-like programming, is it possible to incorporate our hardware support as an add-on into other current and future many-core systems? The paper considers a concrete proposal for doing that: recasting our work as a hardware-enhanced programmer{\textquoteright}s workflow {\^A}{\textquestiondown}module{\^A}{\textquestiondown} that can then be essentially imported into the other systems.},
	keywords = {abstraction;PRAM-On-Chip;easy-to-program, algorithms;parallel, algorithms;sorting;, designing;explicit, multi-threading;fine-grained, PRAM, random-access-machine/model;parallel, sorting, system, system;parallel, systems;concurrency, THEORY, theory;multi-threading;parallel, threads;many-core},
	doi = {10.1109/ICCD.2009.5413174},
	author = {Vishkin, Uzi}
}
@conference {17009,
	title = {CHI@20: fighting our way from marginality to power},
	booktitle = {CHI {\textquoteright}02 extended abstracts on Human factors in computing systems},
	series = {CHI EA {\textquoteright}02},
	year = {2002},
	month = {2002///},
	pages = {688 - 691},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {The Special Interest Group on Computer Human Interaction (SIGCHI) has had a successful history of 20 years of growth in its numbers and influence. To help guide the continued evolution of the academic discipline and professional community, we invite several senior members to offer their visions for what the field of CHI actually accomplished over the past several decades, and what do we still need to accomplish? What do we need to do differently/ better/smarter? What haven{\textquoteright}t we tried because the technology, the money or the will wasn{\textquoteright}t there in the past, but perhaps is now.The CHI field is more than just technology. We understand that our work can have a profound effect on individuals, families, neighborhoods, corporations, and countries. We know that we can influence education, commerce, healthcare, and government. How can we contribute to bridging the digital divides in developed and developing countries? What agendas can we offer for the academic, research, industrial, and civic spheres for the next 20 years? How can we be more ambitious? How can we truly serve human needs.},
	keywords = {education, future vision, Human-computer interaction, practice, professional, THEORY, usability engineering},
	isbn = {1-58113-454-1},
	doi = {10.1145/506443.506548},
	url = {http://doi.acm.org/10.1145/506443.506548},
	author = {Shneiderman, Ben and Card,Stuart and Norman,Donald A. and Tremaine,Marilyn and Waldrop,M. Mitchell}
}
@article {13878,
	title = {Toward Compact Monotonically Compositional Interlingua Using Lexical Aspect},
	year = {1997},
	month = {1997/12//},
	institution = {Instititue for Advanced Computer Studies, Univ of Maryland, College Park},
	abstract = {We describe a theoretical investigation into the semantic space described by our interlingua (IL), which currently has 191 main verb classes divided into 434 subclasses. represented by 237 distinct Lexical Conceptual Structures (LCSs). Using the model of aspect in Olsen (1994b, 1997a) monotonic aspectual composition we have identified 71 aspectually basic subclasses that are associated with one or more of 68 aspectually non-basic classes via some lexical ("type-shifting") rule (Bresnan 1982, Pinker 1984, Levin and Rappaport Hovav 1995). This allows us to refine the IL and address certain computational and theoretical issues at the same time. From a linguistic viewpoint, the expected benefits include a refinement of the aspectual model in (Olsen :1994b, 1997a) (which provides necessary but not sufficient conditions for aspectual composition), and a refinement of the verb classifications in (Levin 1993); we also expect our approach to eventually produce a systematic definition (in terms of LCSs and compositional operations) of the precise meaning components responsible for Levin{\textquoteright}s classification. Computationally, the lexicon is made more compact.},
	keywords = {*LEXICOGRAPHY, *SEMANTICS, COMPOSITION(PROPERTY), linguistics, MODELS, STRUCTURES, THEORY, Vocabulary},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA458248},
	author = {Dorr, Bonnie J and Olsen,Mari B and Thomas,Scott C}
}
@article {13704,
	title = {A Lexical Conceptual Approach to Generation for Machine Translation},
	year = {1988},
	month = {1988/01//},
	institution = {MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB},
	abstract = {Current approaches to generation for machine translation make use of direct-replacement templates, large grammars, and knowledge-based inferencing techniques. Not only are rules language-specific, but they are too simplistic to handle sentences that exhibit more complex phenomena. Furthermore, these systems are not easily extendable to other languages because the rules that map the internal representation to the surface form are entirely dependent on both the domain of the system and the language being generated. Finally an adequate interlingual representation has not yet been discovered; thus, knowledge-based inferencing is necessary and syntactic cross-linguistic generalization cannot be exploited. This report introduces a plan for the development of a theoretically based computational scheme of natural language generation for a translation system. The emphasis of the project is the mapping from the lexical conceptual structure of sentences to an underlying or base syntactic structure called deep structure. This approach tackles the problems of thematic and structural divergence, i.e., it allows generation of target language sentences that are not thematically or structurally equivalent to their conceptually equivalent source language counterparts. Two other more secondary tasks, construction of a dictionary and mapping from deep structure to surface structure, will also be discussed. The generator operates on a constrained grammatical theory rather than on a set of surface level tranformations.},
	keywords = {*MACHINE TRANSLATION, *NATURAL LANGUAGE, *SYSTEMS APPROACH, COMPUTATIONS, CYBERNETICS, Dictionaries, grammars, internal, LEXICOGRAPHY, SURFACES, syntax, THEORY, TRANSLATIONS, WORDS(LANGUAGE)},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA197356},
	author = {Dorr, Bonnie J}
}
@article {12051,
	title = {Computing Intrinsic Images.},
	year = {1986},
	month = {1986/08//},
	abstract = {Low level modern computer vision is not domain dependent, but concentrates on problems that correspond to identifiable modules in the human visual system. Several theories have been proposed in the literature for the computation of shape from shading, shape from texture, retinal motion from spatiotemporal derivatives of the image intensity function and the like. The problems with the existing approach are basically the following: (1) The employed assumptions are very strong and so most of the algorithms fail when applied to real images. (2) Usually the constraints from the geometry and the physics of the problem are not enough to guarantee uniqueness of the computed parameters. (3) In most cases the resulting algorithms are not robust, in the sense that if there is a slight error in the input this results in a catastrophic error in the output. In this thesis the problem of machine vision is explored from its basics. A low level mathematical theory is presented for the unique robust computation of intrinsic parameters. The computational aspect of the theory envisages a cooperative highly parallel implementation, bringing in information from five different sources (shading, texture, motion, contour and stereo), to resolve ambiguities and ensure uniqueness and stability of the intrinsic parameters. The problems of shape from texture, shape from shading and motion, visual motion analysis and shape and motion from contour are analyzed in detail.},
	keywords = {*ARTIFICIAL INTELLIGENCE, *COMPUTERS, *IMAGE PROCESSING, *VISION, algorithms, CAMERAS, CATASTROPHIC CONDITIONS, COMPUTATIONS, CYBERNETICS, ERRORS, HUMANS, IMAGES, INTENSITY, LOW LEVEL, MATHEMATICS, MOTION, RETINA, Robots, SHADOWS, SHAPE, TEXTURE, THEORY, THESES.},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA189440},
	author = {Aloimonos, J.}
}
