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关键词： Greedy Edge Expectation Maximization (GEEM)   Boosting   Object detection   Image classification  

摘要： We propose a novel approach to efficiently select informative samples for large-scale learn- ing. Instead of directly feeding a learning algorithm with a very large amount of samples, as it is usually done to reach state-of-the-art performance, we have developed a "distilla- tion" procedure to recursively reduce the size of an initial training set using a criterion that ensures the maximization of the information content of the selected sub-set. We demonstrate the performance of this procedure for two different computer vision problems. First, we show that distillation can be used to improve the traditional bootstrap- ping approach to object detection. Second, we apply distillation to a classification problem with artificial distortions. We show that in both cases, using the result of a distillation process instead of a random sub-set taken uniformly in the original sample set improves performance significantly.

关键词： Greedy Edge Expectation Maximization (GEEM)   Boosting   Object detection   Image classification  

摘要： We propose a novel approach to efficiently select informative samples for large-scale learn- ing. Instead of directly feeding a learning algorithm with a very large amount of samples, as it is usually done to reach state-of-the-art performance, we have developed a "distilla- tion" procedure to recursively reduce the size of an initial training set using a criterion that ensures the maximization of the information content of the selected sub-set. We demonstrate the performance of this procedure for two different computer vision problems. First, we show that distillation can be used to improve the traditional bootstrap- ping approach to object detection. Second, we apply distillation to a classification problem with artificial distortions. We show that in both cases, using the result of a distillation process instead of a random sub-set taken uniformly in the original sample set improves performance significantly.

关键词： Stand-off LIBS   Classification   PCA   LDA   Cultural heritage  

摘要： Focusing on historical aspect, during archeological excavation or restoration works of buildings or different structures built from bricks it is important to determine, preferably in-situ and in real-time, the locality of bricks origin. Fast classification of bricks on the base of Laser-Induced Breakdown Spectroscopy (LIBS) spectra is possible using multivariate statistical methods. Combination of principal component analysis (PCA) and linear discriminant analysis (LDA) was applied in this case. LIBS was used to classify altogether the 29 brick samples from 7 different localities. Realizing comparative study using two different LIBS setups - stand-off and table-top it is shown that stand-off LIBS has a big potential for archeological in-field measurements. (C) 2014 Elsevier B.V. All rights reserved.

关键词： 血液检验   贫血鉴别   血液生化   贫血诊断   临床意义  

摘要： 目的:分析和探讨在贫血诊断的过程中血液检验具有的临床意义。方法:选择笔者所在医院2012年6月-2013年8月收治的血液检测的60例贫血患者鉴别诊断结果并进行讨论与分析,将缺铁性贫血的患者定为观察A组,并将地中海贫血的患者定为观察B组。其中缺铁性贫血的患者为28例,地中海贫血的患者为32例,并仔细观察两组患者临床血液检验情况,再选择40例健康成人作为对照组。并选择专业人员认真地对三组成员的MCV/RBC、RDW、RBC、MCH、MCV等指标进行观察。结果:60例患者中的外周血红蛋白、白细胞以及血小板等都显示异常,而在血液生化中,60例患者的MCV/RBC、RDW、RBC、MCH、MCV等指标均有异于对照组,差异有统计学意义(P<0.05)。结论:在贫血的诊断鉴别过程中,MCV/RBC、RDW、RBC、MCH、MCV等指标均可以帮助贫血诊断,还需要多方面的对患者进行血液检测,由此才可以有效地对贫血类型进行诊断。

关键词： 错别字   文书检验   作用  

摘要： 文书检验工作运用检验学的理论和方法,在如今的刑事案件和民事案件中起着举足轻重的作用。特别是在检察机关的自侦案件中,它能够为其提供可靠的线索和证据。笔者结合自己的实际工作,对如何运用文书检验为侦查提供方向,如何运用错别字的特征完成笔迹检验,作了简单论述。

关键词： 血液检验   贫血诊断   鉴别  

摘要： 目的：探讨血液检验在贫血鉴别诊断中的应用和作用方法：从我院2010年9月到2013年9月接收并治疗的贫血患者中抽取110例,随机分为观察组和对照组,每组55例,观察组全部为地中海贫血患者,对照组全部为缺铁性贫血患者,对两组患者行相同检测,然后比较两组患者的指标差异. 结果：观察组中RBC和RBC/MCV 均民享高于对照组,观察组检测灵敏度、符合率以及特异性较对照组低,其中p〈0.05,差异具有统计学意义.结论：对于贫血的鉴别诊断,血液检验能够对RBC、RBC/MCV 等指标进行检测,同时对灵敏度、符合率等进行分析,能够更加高效的进行诊断,对于贫血的不同类型作出鉴别,是一种科学、高效的临床医学检验方法,值得在贫血患者的临床鉴别诊断中运用和推广.

关键词： Breast cancer   Receptor concordance   ER   PR   HER2   Random forest   IHC   Biomarkers   qPCR  

摘要： Breast cancers are categorized into three subtypes based on protein expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2/ERBB2). Patients enroll onto experimental clinical trials based on ER, PR, and HER2 status and, as receptor status is prognostic and defines treatment regimens, central receptor confirmation is critical for interpreting results from these trials. Patients enrolling onto experimental clinical trials in the metastatic setting often have limited available archival tissue that might better be used for comprehensive molecular profiling rather than slide-intensive reconfirmation of receptor status. We developed a Random Forests-based algorithm using a training set of 158 samples with centrally confirmed IHC status, and subsequently validated this algorithm on multiple test sets with known, locally determined IHC status. We observed a strong correlation between target mRNA expression and IHC assays for HER2 and ER, achieving an overall accuracy of 97 and 96 %, respectively. For determining PR status, which had the highest discordance between central and local IHC, incorporation of expression of co-regulated genes in a multivariate approach added predictive value, outperforming the single, target gene approach by a 10 % margin in overall accuracy. Our results suggest that multiplexed qRT-PCR profiling of ESR1, PGR, and ERBB2 mRNA, along with several other subtype associated genes, can effectively confirm breast cancer subtype, thereby conserving tumor sections and enabling additional biomarker data to be obtained from patients enrolled onto experimental clinical trials.

关键词： text file   static analysis   testing  

摘要： An n-gram may be a sub-sequence of n things from a given sequence. N-grams square measure employed in varied areas of applied mathematics linguistic communication process and genetic sequence analysis. During which sequence analysis is that the method of comparison the sequence or series of attributes so as to seek out the similarity. Malware is nothing however malicious computer code that\"s designed by attackers for worrying computers. Malware variants can have distinct computer memory unit level representations whereas in principal belong to a similar family of malware. The computer memory unit level content is completely different as a result of tiny changes to the malware ASCII text file may end up in considerably different compiled code. During which programs square measure used as operational code (opcode) density histograms obtained through dynamic analysis. Dynamic analysis is that the method of testing and analysis of application or a program throughout period. A SVM is employed for classification or regression issues. It uses a way known as the kernel trick to remodel your information and so supported these transformations it finds associate degree optimum boundary between the doable outputs. We have a tendency to use static analysis to classify malware. It known a prefilter stage victimisation hex values of files, that may scale back the feature set and so scale back the coaching effort. The result shows that the relationships between options square measure complicated and straightforward statistics filtering approaches don"t give a sensible approach. However, hex decimal primarily based produces an appropriate filter. The whole systems are going to be enforced in WEKA tool.

关键词： analysis of algorithms   suboptimal algorithms   marketing   product policy   fractional programming   attraction model   assortment optimization  

摘要： Motivated by retailers' frequent introduction of new items to refresh product lines and maintain their market shares, we present the assortment packing problem in which a firm must decide, in advance, the release date of each product in a given collection over a selling season. Our formulation models the trade-offs among profit margins, preference weights, and limited life cycles. A key aspect of the problem is that each product is short-lived in the sense that, once introduced, its attractiveness lasts only a few periods and vanishes over time. The objective is to determine when to introduce each product to maximize the total profit over the selling season. Even for two periods, the corresponding optimization problem is shown to be NP-complete. As a result, we study a continuous relaxation of the problem that approximates the problem well, when the number of products is large. When margins are identical and product preferences decay exponentially, its solution can be characterized: it is optimal to introduce products with slower decays earlier. The structural properties of the relaxation also help us to develop several heuristics, for which we establish performance guarantees. We test our heuristics with data on sales and release dates of women's handbags from an accessories retailer. The numerical experiments show that the heuristics perform very well and can yield significant improvements in profitability.

关键词： Bioinformatics   Biology and life sciences   Computational biology   Database and informatics methods   Genomics statistics   Research and analysis methods   Research Article  

摘要： Introduction: The widespread application of microarray experiments to cancer research is astounding including lung cancer, one of the most common fatal human tumors. Among non-small cell lung carcinoma (NSCLC), there are two major histological types of NSCLC, adenocarcinoma (AC) and squamous cell carcinoma (SCC). Results: In this paper, we proposed to integrate a visualization method called Radial Coordinate Visualization (Radviz) with a suitable classifier, aiming at discriminating two NSCLC subtypes using patients' gene expression profiles. Our analyses on simulated data and a real microarray dataset show that combining with a classification method, Radviz may play a role in selecting relevant features and ameliorating parsimony, while the final model suffers no or least loss of accuracy. Most importantly, a graphic representation is more easily understandable and implementable for a clinician than statistical methods and/or mathematic equations. Conclusion: To conclude, using the NSCLC microarray data presented here as a benchmark, the comprehensive understanding of the underlying mechanism associated with NSCLC and of the mechanisms with its subtypes and respective stages will become reality in the near future.