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Results 11 - 20
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2,140
Whom You Know Matters: Venture Capital Networks and Investment Performance,
- Journal of Finance
, 2007
"... Abstract Many financial markets are characterized by strong relationships and networks, rather than arm's-length, spot-market transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company inv ..."
Abstract
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Cited by 138 (8 self)
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focus on how each measure captures a slightly different aspect of a VC's economic role in the network. 3 See Wasserman and Faust (1997) for a detailed review of network analysis methods. 4 For tractability, the graph excludes biotech-focused VC firms that have no syndication relationships during
A spectral nudging technique for dynamical downscaling purposes.
- Mon. Wea. Rev.,
, 2000
"... ABSTRACT The ''spectral nudging'' method imposes time-variable large-scale atmospheric states on a regional atmospheric model. It is based on the idea that regional-scale climate statistics are conditioned by the interplay between continental-scale atmospheric conditions and suc ..."
Abstract
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Cited by 83 (11 self)
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ABSTRACT The ''spectral nudging'' method imposes time-variable large-scale atmospheric states on a regional atmospheric model. It is based on the idea that regional-scale climate statistics are conditioned by the interplay between continental-scale atmospheric conditions
Dynamic texture segmentation
- In ICCV
, 2003
"... We address the problem of segmenting a sequence of images of natural scenes into disjoint regions that are characterized by constant spatio-temporal statistics. We model the spatio-temporal dynamics in each region by Gauss-Markov models, and infer the model parameters as well as the boundary of the ..."
Abstract
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Cited by 66 (8 self)
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We address the problem of segmenting a sequence of images of natural scenes into disjoint regions that are characterized by constant spatio-temporal statistics. We model the spatio-temporal dynamics in each region by Gauss-Markov models, and infer the model parameters as well as the boundary
Fluid animation with dynamic meshes
- ACM Trans. on Graphics
, 2006
"... Figure 1: Top: A paddle mixes smoke in a tank. Bottom: A cross-section of the simulation meshes used for each frame. This paper presents a method for animating fluid using un-structured tetrahedral meshes that change at each time step. We show that meshes that conform well to changing bound-aries an ..."
Abstract
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Cited by 76 (8 self)
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Figure 1: Top: A paddle mixes smoke in a tank. Bottom: A cross-section of the simulation meshes used for each frame. This paper presents a method for animating fluid using un-structured tetrahedral meshes that change at each time step. We show that meshes that conform well to changing bound-aries
Map Labeling and Its Generalizations
"... Map labeling is of fundamental importance in cartography and geographical information systems and is one of the areas targeted for research by the ACM Computational Geometry Impact Task Force. Previous work on map labeling has focused on the problem of placing maximal uniform, axis-aligned, disjoint ..."
Abstract
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Cited by 41 (5 self)
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point features by rectangular labels, where the feature may lie anywhere on the boundary of its label region and where labeling rectangles may be placed in any orientation. These results generalize to the case of elliptical labels. Secondly, we consider the problem of labeling a map consisting
Complexity measures of supervised classification problems
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2002
"... AbstractÐWe studied a number of measures that characterize the difficulty of a classification problem, focusing on the geometrical complexity of the class boundary. We compared a set of real-world problems to random labelings of points and found that real problems contain structures in this measurem ..."
Abstract
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Cited by 100 (8 self)
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AbstractÐWe studied a number of measures that characterize the difficulty of a classification problem, focusing on the geometrical complexity of the class boundary. We compared a set of real-world problems to random labelings of points and found that real problems contain structures
Z.: Multi-label learning with weak label
- In: Proceedings of 24th AAAI Conference on Artificial Intelligence (2010
"... Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the “full ” label set associated with each training instance is given by users. In many appli-cations, however, to get the full label set for eac ..."
Abstract
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Cited by 28 (6 self)
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label ” problem. In this paper, we propose the WELL (WEak Label Learning) method to solve the weak label problem. We consider that the classification boundary for each label should go across low density regions, and that each label generally has much smaller number of positive examples than negative
A nonparametric statistical method for image segmentation using information theory and curve evolution
- IEEE TRANSACTIONS ON IMAGE PROCESSING
, 2005
"... In this paper, we present a new information-theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the region labels and the image pixel intensities, subject to a constraint on the total length of the region boundaries. We as ..."
Abstract
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Cited by 82 (1 self)
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In this paper, we present a new information-theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the region labels and the image pixel intensities, subject to a constraint on the total length of the region boundaries. We
Finding Stable Extremal Region Boundaries ∗
"... This paper introduces a novel boundary detection framework finding the most stable region boundaries in grayscale images. In contrast to common detection algorithms as Canny, which only analyze local discontinuities in image brightness our method also integrates mid-level information by analyzing re ..."
Abstract
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Cited by 1 (0 self)
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This paper introduces a novel boundary detection framework finding the most stable region boundaries in grayscale images. In contrast to common detection algorithms as Canny, which only analyze local discontinuities in image brightness our method also integrates mid-level information by analyzing
EXPLORATION OF REGIONAL FOOD LABELLING PROGRAMS
, 2011
"... i This thesis explored Regional Labelling Programs (RLPs) as an economic development tool and a means of promoting local agriculture. Four programs were studied: GoLocal Sonoma County, Local Food Plus, SAVOUR Muskoka, and Taste of Nova Scotia. Each of these RLPs is set in a different geographic loca ..."
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i This thesis explored Regional Labelling Programs (RLPs) as an economic development tool and a means of promoting local agriculture. Four programs were studied: GoLocal Sonoma County, Local Food Plus, SAVOUR Muskoka, and Taste of Nova Scotia. Each of these RLPs is set in a different geographic
Results 11 - 20
of
2,140
