ppxscal/embedding_network huggingface dataset:
Exploring Movie Recommendation System Using Cultural Metadata
Authors: Shinhyun Ahn, Chung-Kon Shi
Venue: Transactions on Edutainment II (2009)

With the advent of the World Wide Web, it has captured and accumulated `Word-of-Mouth (WoM)' such as reviews, comments, user ratings, and etc., about cultural contents including movies. We paid attention to WoM's role as cultural metadata. `Recommendation systems' are services which recommend users new items such as news articles, books, music, and movies they would like. We developed a simple and low-cost movie recommendation system harnessing vast cultural metadata, about movies, existing on the Web. Then we evaluated the system, and analyzed its strength. As a result, we could be aware of the potential of cultural metadata.
Trustworthy Web Service Security Risk Assessment Research
Authors: Pang Jianjing, Peng Xinguang
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Web service has been extensively applied in Internet, but it is vulnerable to vicious attacks too. Since it has been far from enough to solve the problems by technology only, security risk assessment, therefore, is demanded to find out the risks confronting web, consequently, for us to take effective measures to reduce and avoid them. Risk analysis is considered as an important process to identify the known and potential vulnerabilities and threats in the web service security. In this thesis, an effective security risk assessment system based on web service was achieved, bringing forward the process and arithmetic of security risk assessment. At last experiments indicated that this assessment has provided users with reliable warranty for the web risk administration.
Masking patterns in sequences: A new class of motif discovery with don't cares
Authors: Giovanni Battaglia, Davide Cangelosi, Roberto Grossi, Nadia Pisanti
Venue: Theoretical Computer Science (2009)

We introduce a new notion of motifs, called masks, that succinctly represents the repeated patterns for an input sequence T of n symbols drawn from an alphabet @S. We show how to build the set of all frequent maximal masks of length L in O(2^Ln) time and space in the worst case, using the Karp-Miller-Rosenberg approach. We analytically show that our algorithm performs better than the method based on constant-time enumerating and checking all the potential (|@S|+1)^L candidate patterns in T, after a polynomial-time preprocessing of T. Our algorithm is also cache-friendly, attaining O(2^Lsort(n)) block transfers, where sort(n) is the cache complexity of sorting n items.
Study on Driving Forces of Small-Scale Land Use Based on Logistic Regression Model A Case Study of Fubei Farm of Xinjiang Province
Authors: Liangqun Jiang, Bin Zhang, Chengqiang Shu, Luxiang Xiao
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Land use/land cover change (LUCC) research has been given close attention during the past decade, because of the pivotal role of LUCC in many aspects like global climatic change, food security, soil degradation and biodiversity. The researches of land use change deal with different spatio-temporal scales, they are increasingly turning from global dimension towards regional dimension research. Taking the case of Fubei Farm of Xinjiang, this study analysed the driving forces of land use changes in small-scale through logistic regression analysis. The results show that: salinity crops area reduction is the driving force of output per unit area of land, soil organic matter content and groundwater salinity, the main reasons of the food crops area to reduce is net output per unit area, the driving factors of the economic crops area to increase are the net output per unit area and the total agricultural output value.
Deformation-Aware Log-Linear Models
Authors: Tobias Gass, Thomas Deselaers, Hermann Ney
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

In this paper, we present a novel deformation-aware discriminative model for handwritten digit recognition. Unlike previous approaches our model directly considers image deformations and allows discriminative training of all parameters, including those accounting for non-linear transformations of the image. This is achieved by extending a log-linear framework to incorporate a latent deformation variable. The resulting model has an order of magnitude less parameters than competing approaches to handling image deformations. We tune and evaluate our approach on the USPS task and show its generalization capabilities by applying the tuned model to the MNIST task. We gain interesting insights and achieve highly competitive results on both tasks.
Research on the Supplier Promise Management Based on the Lean Six Sigma
Authors: Wang Ying-Chun, Wang Shi-Jie, Liu Yong-Xian, Zhang Xinmin
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

In the supplier management, the supplier promise management is one important area. The scope of the supplier promise is very widespread, such as the promise of HSE (health environmental safety), the promise of quality, the promise of price, and the promise of delivery performance etc. As one character of one enterprise the promise has become the most significant evaluation factor which was used to select the supplier for the upstream firm. So during the modern production and management, how to help suppliers to improve their performance to promise has become one key problem. Evidently the nature of this problem is usually complex and unstructured. The paper tried to utilize Lean Six Sigma to solve the problem of the supplier promise management. Such creates a new point of view to study and control the supplier promise management. Lean Six Sigma is an new advanced and high efficient method of management which combined the virtues of Lean production and Six Sigma Management. It focus on the subtle production and the strategic management simultaneously. The three key elements which were attach importance of the modern companies are velocity, cost and benefits, as well as the modern supplier promise management. To use the thinking of the lean Six Sigma in the supplier promise management will bring greater economical benefits than before. In this paper one example which is about the supplier performance to promise date is discussed. The results show that to apply the Lean Six Sigma into the supplier promise management is more practical and effective than the other managing ways.
Robust statistic for the one-way MANOVA
Authors: Valentin Todorov, Peter Filzmoser
Venue: Computational Statistics Data Analysis (2010)

The Wilks' Lambda Statistic (likelihood ratio test, LRT) is a commonly used tool for inference about the mean vectors of several multivariate normal populations. However, it is well known that the Wilks' Lambda statistic which is based on the classical normal theory estimates of generalized dispersions, is extremely sensitive to the influence of outliers. A robust multivariate statistic for the one-way MANOVA based on the Minimum Covariance Determinant (MCD) estimator will be presented. The classical Wilks' Lambda statistic is modified into a robust one through substituting the classical estimates by the highly robust and efficient reweighted MCD estimates. Monte Carlo simulations are used to evaluate the performance of the test statistic under various distributions in terms of the simulated significance levels, its power functions and robustness. The power of the robust and classical statistics is compared using size-power curves, for the construction of which no knowledge about the distribution of the statistics is necessary. As a real data application the mean vectors of an ecogeochemical data set are examined.
MProfiler: A Profile-Based Method for DNA Motif Discovery
Authors: Doaa Altarawy, Mohamed A. Ismail, Sahar M. Ghanem
Venue: Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics (2009)

Motif Finding is one of the most important tasks in gene regulation which is essential in understanding biological cell functions. Based on recent studies, the performance of current motif finders is not satisfactory. A number of ensemble methods have been proposed to enhance the accuracy of the results. Existing ensemble methods overall performance is better than stand-alone motif finders. A recent ensemble method, MotifVoter, significantly outperforms all existing stand-alone and ensemble methods. In this paper, we propose a method, MProfiler, to increase the accuracy of MotifVoter without increasing the run time by introducing an idea called center profiling. Our experiments show improvement in the quality of generated clusters over MotifVoter in both accuracy and cluster compactness. Using 56 datasets, the accuracy of the final results using our method achieves 80% improvement in correlation coefficient nCC, and 93% improvement in performance coefficient nPC over MotifVoter.
A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite Data
Authors: Pan Xiong, Yaxin Bi, Xuhui Shen
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

In this paper we present a comparative analysis of two types of remote sensing satellite data by using the wavelet-based data mining techniques. The analyzed results reveal that the anomalous variations exist related to the earthquakes. The methods studied in this work include wavelet transformations and spatial/temporal continuity analysis of wavelet maxima. These methods have been used to analyze the singularities of seismic anomalies in remote sensing satellite data, which are associated with the two earthquakes of Wenchuan and Pure recently occurred in China.
Data Mining in Traffic Flow Analysis of City Tunnel
Authors: Chengqian Ma, Jingling Yuan, Luo Zhong, Xi Yue
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

The elementary theories and methods of data mining technology is introduced, and specifically applied the data mining technology to the Uprising Square Tunnel traffic flow in the city of Wuhan. Using the clustering analysis tools provided by SQL SERVER 2000, we first carry on the clean to the primary data, and then set up a data mining model, finally carry on the analysis to the result to obtain some traffic characteristics of the tunnel. This information not only helps the tunnel administrative personnel to manage the tunnel more effectively, but also facilitate driving personnel's going on a journey.
The spellbound ones: illuminating everyday collaborative gaming practices in a MMORPG
Authors: Ulrika Bennerstedt, Jonas Linderoth
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

A common argument about computer games and learning is that the commitment gamers have might be transformed and used in educational practices. In order to unpack gamers' commitment, the present study investigates collaboration in a Multiplayer Online Role-Playing Game (MMORPG). It investigates gamers' practices in order to expose their everyday gaming activities and knowledge domains. Drawing on detailed descriptions of team gaming practices, the paper highlights that gamers' of MMORPGs are hands-on experts in handling a game interface. Their expertise is about skilled stances tied to gaming structures. Also, gamers are members in certain communities and adhere to both community specific epistemologies and to generic ones. These gaming stances are from certain educational approaches difficult to make-sense of, while gamers' commitments in other perspectives become means for learning. Lastly, in relation to MMORPGs and education, a neglected issue concerns social pressure in gaming communities, resulting in various forms of participation.
The Use of Hypertext as a Vocabulary Acquisition Strategy for English as Second Language Learners
Authors: Devshikha Bose, Dotty Sammons
Venue: Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held as Part of HCI International 2009 (2009)

This paper has two parts. The first part is a literature review which discusses vocabulary acquisition in ESL learners in context of 1) vocabulary acquisition strategies used by ESL learners 2) efficacy of Computer Aided Language Learning (CALL) in ESL vocabulary acquisition, 3) the use of hypertexts to aid vocabulary acquisition among ESL learners, 4) hypertext use strategies, and 5) hypertext design considerations. The second part of the paper is a proposed study on the use of a website evaluation rubric to evaluate the effectiveness of selected websites based on best practices of teaching-learning ESL.
Kinetic masks: a new approach and device for dispersing biologically relevant fluids
Authors: Ina Meiser, Stephen Graham Shirley, Heiko Zimmermann
Venue: Microsystem Technologies (2009)

The controlled dispersion of fluids, particularly biologically relevant solutions in micro-volumes, is of high practical interest in biotechnology and medicine. Pharmaceutical test assays, for example, need a method for the fast and defined deposition of fluid samples. Most current micro-dispensing methods, i.e. contact-based pin printing, have problems such as time delays, limited dosing velocity, minimum volume or high interference that limit biological applications. Spraying techniques suffer from a lack of reproducibility; a defined deposition of samples on targets is not possible. Here, we introduce a new method for the parallel and spatially defined dispersion of many micro-volumes that overcomes disadvantages of common micro-dispensers. The overall approach is that a fluid drop, produced by a droplet generator, falls on a free trajectory with a defined kinetic energy, and is split by a masking unit placed perpendicular to the flight direction into at least two smaller droplets (Zimmermann et al. in Method and device for dosing fluid media, WO/2002/102515, Germany, 2002). On the target, the resulting droplets form reproducible patterns, which are enlarged and scalable images of the grid pattern. Possible applications for this method are non-contact cell patterning, cell encapsulation, cryopreservation and fast mixing processes in micro-volumes. Here, we use this method for the direct and defined parallel positioning of cell suspensions on specific substrates, which can be useful for test assays, tissue engineering and cryopreservation.
Sparse Bayesian Regression for Grouped Variables in Generalized Linear Models
Authors: Sudhir Raman, Volker Roth
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

A fully Bayesian framework for sparse regression in generalized linear models is introduced. Assuming that a natural group structure exists on the domain of predictor variables, sparsity conditions are applied to these variable groups in order to be able to explain the observations with simple and interpretable models. We introduce a general family of distributions which imposes a flexible amount of sparsity on variable groups. This model overcomes the problems associated with insufficient sparsity of traditional selection methods in high-dimensional spaces. The fully Bayesian inference mechanism allows us to quantify the uncertainty in the regression coefficient estimates. The general nature of the framework makes it applicable to a wide variety of generalized linear models with minimal modifications.An efficient MCMC algorithm is presented to sample from the posterior. Simulated experiments validate the strength of this new class of sparse regression models. When applied to the problem of splice site prediction on DNA sequence data, the method identifies key interaction terms of sequence positions which help in identifying "true" splice sites.
Study on Dynamic Strain Measurement System of Helicopter Rotor Blades Impacted by Bird
Authors: Jiangang Ma, Tianhong Zhang, Jianguo Sun, Haowen Wang
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

In order to measure strain of helicopter rotor blades impacted by bird, a dynamic strain measurement system based on temporary high-speed storage is presented. By identify the moment of bird impact to rotor blades on line, strain of bird impact in the whole process is collected and stored in a Non-volatile SRAM at the sampling rate of 200 kHz. Using wireless data transmission, system’s operation mode is controlled, and strain data is shown in PC machine of the assistant device on ground in sub-real time. The tests indicate that the system satisfies strain measurement of bird impact to rotor blades in revolving condition, and can be used intensity research on rotor blades impacted by bird.
Yoopick: a combinatorial sports prediction market
Authors: Sharad Goel, David Pennock, Daniel Reeves, Cong Yu
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

We describe Yoopick, a combinatorial sports prediction market that implements a flexible betting language, and in tum facilitates fine-grained probabilistic estimation of outcomes.
Pruning the search space of a hand-crafted parsing system with a probabilistic parser
Authors: Aoife Cahill, Tracy Holloway King, John T. Maxwell,  III
Venue: Proceedings of the Workshop on Deep Linguistic Processing (2007)

The demand for deep linguistic analysis for huge volumes of data means that it is increasingly important that the time taken to parse such data is minimized. In the XLE parsing model which is a hand-crafted, unification-based parsing system, most of the time is spent on unification, searching for valid f-structures (dependency attribute-value matrices) within the space of the many valid c-structures (phrase structure trees). We carried out an experiment to determine whether pruning the search space at an earlier stage of the parsing process results in an improvement in the overall time taken to parse, while maintaining the quality of the f-structures produced. We retrained a state-of-the-art probabilistic parser and used it to pre-bracket input to the XLE, constraining the valid c-structure space for each sentence. We evaluated against the PARC 700 Dependency Bank and show that it is possible to decrease the time taken to parse by ~18% while maintaining accuracy.
Diffusion MRI Tractography of Crossing Fibers by Cone-Beam ODF Regularization
Authors: Hans-Heino Ehricke, Kay M. Otto, Vinoid Kumar, Uwe Klose
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

Since the advent of high angular resolution diffusion imaging (HARDI) techniques in diffusion MRI great efforts have been taken in order to reconstruct complex white-matter structures, such as crossing, branching and kissing fibers. However, even highly sophisticated fiber tracking schemes, such as probabilistic tracking, suffer from the data's poor signal-to-noise (SNR) ratio. In this paper we present a novel regularization approach for q-ball fields, exploiting structural information within the data. We also propose a straightforward deterministic tracking algorithm, allowing delineation of even non-dominant pathways through crossing regions. Results from a phantom study with a biological phantom as well as a patient study, in which we reconstruct the pyramidal tract, emphasize the method's efficiency.
Mining sequential patterns and tree patterns to detect erroneous sentences
Authors: Guihua Sun, Gao Cong, Xiaohua Liu, Chin-Yew Lin, Ming Zhou
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

An important application area of detecting erroneous sentences is to provide feedback for writers of English as a Second Language. This problem is difficult since both erroneous and correct sentences are diversified. In this paper, we propose a novel approach to identifying erroneous sentences. We first mine labeled tree patterns and sequential patterns to characterize both erroneous and correct sentences. Then the discovered patterns are utilized in two ways to distinguish correct sentences from erroneous sentences: (1) the patterns are transformed into sentence features for existing classification models, e.g, SVM; (2) the patterns are used to build a rule-based classification model. Experimental results show that both techniques are promising while the second technique outperforms the first approach. Moreover, the classification model in the second proposal is easy to understand, and we can provide intuitive explanation for classification results.
An on-road assessment of the impact of cognitive workload on physiological arousal in young adult drivers
Authors: Bryan Reimer, Bruce Mehler, Joseph F. Coughlin, Kathryn M. Godfrey, Chuanzhong Tan
Venue: Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications (2009)

In this paper, we describe changes in heart rate and skin conductance that result from an artificial manipulation of driver cognitive workload during an on-road driving study. Cognitive workload was increased systematically through three levels of an auditory delayed digit recall (n-back) task. Results show that changes in heart rate and skin conductance with increasing levels of workload are similar to those observed in an earlier simulation study. Heart rate increased in a step-wise fashion through the first two increases in load and then showed a less marked increase at the highest task level. Skin conductance increased most dramatically during the first level of the cognitive task and then appeared to more rapidly approach a ceiling (leveling) than heart rate. Findings further demonstrate the applicability of physiological indices for detecting changes in driver workload.
Reliable Transactional Web Service Composition Using Refinement Method
Authors: Xiaoyong Mei, Aijun Jiang, Fudan Zheng, Shixian Li
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

Web services composition is a good way to construct complex Web software. However, Web services composition is prone to fail due to the unstable Web services execution. Thus, it is necessary to deal with the abstract hierarchical modeling of multi-partner business process. Therefore, this paper proposes a refinement method for failure compensation process of transaction mechanism, constructs failure service composition compensation model with the help of paired Petri net and builds a services composition compensation model. It discusses the refinement model and aggregated QoS estimation of the five common aggregation compensation constructs. It takes the classical traveling reservation business process as an example to show the influence on composite business process brought by the aggregated QoS metrics in different failure points, and analyzes the influence of reputation in different failure rate.