1,225 research outputs found

    Addictive behavior in cinema demand: evidence from Korea

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    It is intuitively plausible that the demand for cinema services may be partly driven by addiction or habit. Yet there is almost no empirical literature which tests for whether cinema demand is addictive. We estimate addiction models for cinema demand using Korean time series data from 1963 to 2004. Our estimation results indicate that (i) addictive behavior characterizes the demand for cinema services, (ii) this behavior is rational, and (iii) habit is one of most important determinants of cinema demand. Our results also reveal that cinema attendance is generally insensitive to admission price and unrelated to income.Cinema demand, rational addiction, myopic addiction, two-stages least squares, time-series analysis

    Does the Solow Residual for Korea Reflect Pure Technology Shocks?

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    This study investigates the relationship between the measured Solow residual and demand side variables for the Korean economy. The measured Solow residuals are shown to be Granger-caused by some demand side variables such as exports, M1, and government expenditure. A vector error correction model is constructed to investigate dynamic relation between these demand side variables and the Solow residual. Impulse response functions shows that the measured Solow residual moves pro-cyclically with the demand shocks, and that the forecast error variance of the measured Solow residual is mostly explained by past innovations of these demand side variablesSolow residual, Productivity shock, Vector error correction model

    The Productivity Debate of East Asia Revisited: A Stochastic Frontier Approach

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    This paper applies a stochastic frontier production model to the data from Penn World Tableโ€™s 49 countries over the period 1965-1990, to decompose total factor productivity growth into technical change and technical efficiency change. Empirical results show East Asian countries led the whole world in productivity growth, mainly because their technical efficiency gain was so much faster than that of other countries. East Asian countries also registered rapid technical change, which was comparable to that of the G6 countries after the late 1980s. The results provide evidence that negate the hypothesis that East Asian growth was mostly input-driven and unsustainable.East Asian Growth, stochastic frontier production model, total factor productivity, technical progress, technical efficiency

    A Counterexample on Implicit Variational Inequalities

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    AbstractOur aim in this note is to give a counterexample to show that some existence theorems on implicit variational inequalities recently due to Fu are false

    Large scale group network optimization

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    Every knapsack problem may be relaxed to a cyclic group problem. In 1969, Gomory found the subadditive characterization of facets of the master cyclic group problem. We simplify the subadditive relations by the substitution of complementarities and discover a minimal representation of the subadditive polytope for the master cyclic group problem. By using the minimal representation, we characterize the vertices of cardinality length 3 and implement the shooting experiment from the natural interior point. The shooting from the natural interior point is a shooting from the inside of the plus level set of the subadditive polytope. It induces the shooting for the knapsack problem. From the shooting experiment for the knapsack problem we conclude that the most hit facet is the knapsack mixed integer cut which is the 2-fold lifting of a mixed integer cut. We develop a cutting plane algorithm augmenting cutting planes generated by shooting, and implement it on Wong-Coppersmith digraphs observing that only small number of cutting planes are enough to produce the optimal solution. We discuss a relaxation of shooting as a clue to quick shooting. A max flow model on covering space is shown to be equivalent to the dual of shooting linear programming problem.Ph.D.Committee Chair: Ellis L. Johnson; Committee Member: Brady Hunsaker; Committee Member: George Nemhauser; Committee Member: Jozef Siran; Committee Member: Shabbir Ahmed; Committee Member: William Coo

    ์˜์ƒ์‹œ์ฐฉ ํ•™์Šต:์˜ท๊ณผ ์‚ฌ๋žŒ์˜ ๋ถ„๋ฆฌ๋ฅผ ํ†ตํ•ด ์˜ท์˜ ์ƒ์„ธ ์ •๋ณด๋ฅผ ์‚ด๋ ค์ฃผ๋Š” ์‹œ์ฐฉ๋ฐฉ๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋ฐ์ดํ„ฐ์‚ฌ์ด์–ธ์Šค๋Œ€ํ•™์› ๋ฐ์ดํ„ฐ์‚ฌ์ด์–ธ์Šคํ•™๊ณผ, 2023. 2. ์ด์ค€์„.Virtual try-on, fitting an image of a garment to an image of a person, has rapidly progressed recently. However, existing virtual try-on methods still struggle to faithfully represent various details of the clothes when worn. In this paper, we propose a simple yet effective method to better preserve details of the clothing and person by introducing an additional fitting step after geometric warping. This minimal modification helps to effectively learn disentangled representations of the clothing from the wearer. By disentangling these two major components for virtual try-on, we are able to preserve the wearer-agnostic structure and details of the clothing, and thus can fit a garment naturally to a variety of poses and body shapes. Moreover, we propose a novel evaluation framework applicable to any metric, to better reflect the semantics of clothes fitting. From extensive experiments, we empirically verify that the proposed method not only learns to disentangle clothing from the wearer, but also preserves details of the clothing on the try-on results.์›ํ•˜๋Š” ์˜ท์˜ ์ด๋ฏธ์ง€๋ฅผ ์‚ฌ๋žŒ์˜ ์ด๋ฏธ์ง€์— ๋งž์ถ”์–ด ์ž…ํ˜€์ฃผ๋Š” ๊ฐ€์ƒ ์˜๋ฅ˜ ์‹œ์ฐฉ ๊ธฐ์ˆ ์€ ์ตœ๊ทผ ๋น ๋ฅด๊ฒŒ ๋ฐœ์ „ํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ํ˜„์žฌ ์กด์žฌํ•˜๋Š” ๊ฐ€์ƒ ์‹œ์ฐฉ ๋ฐฉ๋ฒ•๋“ค์€ ์˜ท์ด ์ž…ํ˜€์กŒ์„ ๋•Œ์˜ ๋””ํ…Œ์ผ์„ ์ž˜ ํ‘œํ˜„ํ•˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ, ๋‚˜๋Š” ๊ธฐํ•˜ํ•™์  ๋ณ€ํ˜• ๋‹จ๊ณ„์ดํ›„์— ์ถ”๊ฐ€์ ์ธ ํ”ผํŒ… ๋‹จ๊ณ„๋ฅผ ์ถ”๊ฐ€ํ•จ์œผ๋กœ์จ ์˜ท์˜ ๋””ํ…Œ์ผ์„ ๋ณด๋‹ค ์ž˜ ์‚ด๋ฆด ์ˆ˜ ์žˆ๋Š” ๋‹จ์ˆœํ•˜์ง€๋งŒ ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ์ด ์ตœ์†Œํ•œ์˜ ๋ณ€ํ™”๋Š” ์‚ฌ๋žŒ๊ณผ ์˜ท์„ ํšจ๊ณผ์ ์œผ๋กœ ๋ถ„๋ฆฌํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์†Œ๊ฐœํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์˜ท์˜ ๋””ํ…Œ์ผ์„ ์ž์—ฐ์Šค๋Ÿฝ๊ณ  ํšจ๊ณผ์ ์œผ๋กœ ํ•ฉ์„ฑํ•  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ๋ณธ ๋…ผ๋ฌธ์—์„œ ๊ธฐ์กด ์ธก์ •๋ฐฉ๋ฒ•์— ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ํ‰๊ฐ€๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ์‹คํ—˜์„ ํ†ตํ•ด ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์‹œํ•œ ๋ฐฉ๋ฒ•์ด ์˜ท๊ณผ ์‚ฌ๋žŒ์„ ํšจ๊ณผ์ ์œผ๋กœ ๋ถ„๋ฆฌํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์˜ท์˜ ๋””ํ…Œ์ผ์„ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๋ณด์กดํ•จ์„ ๋ณด์˜€๋‹ค.Chapter 1. Introduction 3 Chapter 2. Related Work 5 Chapter 3. Preliminary 6 Chapter 4. The Proposed Method: DP-VTON 8 Chapter 5. Experiments 12 Chapter 6. Summary 19 Chapter 7. Supplementary materials 19 Bibliography 30 Abstract in Korean 35์„
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