Vision

2000

St. Charles County’s sustained prosperity and its ability to attract new residents are due in a large part to the high quality of life it offers. Residential development in the county can strive to provide housing opportunities for all its citizens in a variety of housing choices and in a range of prices. Such residential development should be accomplished while protecting the natural environment and providing a balance of land use patterns which minimizes land use conflict.

Citations in the corpus

• What can the brain teach us about building artificial intelligence? (2016, neutral): “Although Lake et al. seek to take the computational level ‘high ground’ (Marr, 1982), their representational commitments also constrain the inferential procedures they rely on.”
• Marr Revisited: 2D-3D Alignment via Surface Normal Prediction (2016, neutral): “One of the most promising theories in the 1970-80’s was provided by David Marr at MIT [30].”
• Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention (1993, unknown): “Since the representation tries to capture important image structures with a small set of primitives, it bears some similarity to the primal sketch proposed by Marr (1976, 1982), although fewer primitives are used.”
• The Nonlinear Statistics of High-Contrast Patches in Natural Images (2003, unknown): “We want to better understand how edges and other image “primitives” (see David Marr’s primal sketch (Marr, 1982)) are represented geometrically in the state space of image data.”
• The minority report: some common assumptions to reconsider in the modelling of the brain and behaviour (2016, unknown): “This paper undertakes such a reevaluation for issues that extend over the three levels of the methodological hierarchy defined by Marr and Poggio (1977; cf. Marr, 1982): problem, representation/algorithm and implementation.”
• Correlative multi-label video annotation (2007, unknown): “The approach follows the Principle of Least-Commitment [9].”
• Computational analysis and learning for a biologically motivated model of boundary detection (2008, unknown): “[43,53,59], research in these two areas proceeds along loosely coupled paths, leaving largely unexplored the potential of their fruitful interaction.”
• Visual development in human infants: Binding features, surfaces, and objects (2001, unknown): “Unit formation and surface segregation, on this account, proceeds from an initial analysis of individual feature elements (cf. Marr, 1982): edge orientations, surface intersections (e.g., T-, L-, and X-junctions), and surface motions.”
• Perceptual visual quality metrics: A survey (2011, unknown): “it is’’ (Marr’s words on vision [99]), in most meaningful and practical situations for visual quality evaluation.”
• Understanding OSN-based facial disclosure against face authentication systems (2014, unknown): “Popular face authentication systems include Face Unlock [10], Facelock Pro [8], and Visidon [38] on smart-phones/tablets, Veriface [24], Luxand Blink [25], and FastAc-cess [39] on laptops.”
• Rational approximations to rational models: alternative algorithms for category learning. (2010, unknown): “Rational models of cognition aim to explain human thought and behavior as an optimal solution to the computational problems that are posed by our environment (Anderson, 1990; Chater & Oaksford, 1999; Marr, 1982; Oaksford & Chater, 1998).”
• Objects and attention: the state of the art. (2001, unknown): “The part structure of complex objects has played a major role in theorizing about the recognition of speci®c objects, where several researchers have proposed that specialized processes for the recognition of speci®c volumetric parts help to `jumpstart' the recognition process (e.g. Biederman, 1987; ”
• Climate change and social transformations: is it time for a quantum leap? (2016, unknown): “15 Quantum decision-making recognizes that judgments and decisions are in fl uenced by context, and that entangled systems cannot, in theory, be modeled as separate systems.”
• Cognitive Perspectives in Psychology (2013, unknown): “In vision, for example, it is likely that all information about the organization of a scene, except for some depth cues, is determined preattentively (Marr, 1982).”
• Parasites, Behavioral Defenses, and the Social Psychological Mechanisms Through Which Cultures Are Evoked (2006, unknown): “, an algorithmic level of analysis [Marr, 1982]) is absent from biosocial accounts.”
• On Ideal Binary Mask As the Computational Goal of Auditory Scene Analysis (2005, unknown): “In the visual domain, Marr (1982) states that the purpose of vision is to produce a visual description of the environment for the viewer.”