To claim an ITC, the expenses or purchases must be reasonable in quality, nature, and cost in relation to the nature of your business. If you use the quick method of accounting you cannot claim ITCs for your operating expenses. For more information, see Determine the percentage of use when there is a change in use, sale or improvements to capital personal property. You prepaid three months of rent for office space for use in your commercial activities for the period of January, 1, to March 31, In certain situations there are restrictions on the amount that you can claim as an ITC.
For more information on how to calculate ITCs for different types of expenses, see Calculate input tax credits. Failing to recapture ITCs as and when required could result in penalties. No later than four years after the due date for the return in which you could have first claimed the ITC. You are a quarterly filer and you buy office furniture in the reporting period October 1,to December 31,for which you can claim an ITC.
The due date of the return for this reporting period is January 31, The last reporting period in which you can claim an ITC for the tax you were charged on the office furniture is the reporting period October 1, to December 31, The due date for this return is January 31, This means that you can claim the ITC in any return due and filed by January 31, No later than the due date for the return that is two years after the end of the fiscal year in which you could have first claimed the ITC.
You are a monthly filer with a fiscal year-end of December You buy goods in the reporting period September 1 to 30,for which you can claim an ITC. The fiscal year that includes the September return ends on December 31, You can claim the ITC on any later return for a reporting period that ends by December 31, and is filed by January 31, You are not a deemed financial institution see the conditions for " Deemed financial institution ".
We consider you to be a financial institution because of your election to deem certain supplies to be exempt financial services. In certain situation, the documentation requirements have been reduced. For more information, see Exceptions to invoice requirements.
You will not receive a reply.Toggle navigation. Toggle navigation Toggle navigation Login. Year Toggle Poster Visibility. In Algorithms -- Adversarial Learning. Efficient online learning with kernels for adversarial large scale problems. In Algorithms -- Bandit Algorithms. In Algorithms -- Clustering. In Algorithms -- Components Analysis e.
In Algorithms -- Density Estimation. In Algorithms -- Dynamical Systems. In Algorithms -- Kernel Methods. In Algorithms -- Missing Data. In Algorithms -- Representation Learning. Learning low-dimensional state embeddings and metastable clusters from time series data. In Algorithms -- Similarity and Distance Learning. Jamaloddin Golestani. In Applications -- Game Playing. In Applications -- Privacy, Anonymity, and Security. Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate.
In Applications -- Recommender Systems. In Deep Learning -- Deep Autoencoders. Edward Suh. In Deep Learning -- Generative Models. In Deep Learning -- Predictive Models. In Deep Learning -- Recurrent Networks. Non-normal Recurrent Neural Network nnRNN : learning long time dependencies while improving expressivity with transient dynamics. Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics.
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. In Optimization -- Combinatorial Optimization. In Probabilistic Methods -- Causal Inference.
In Reinforcement Learning and Planning -- Exploration.Theoretical computer science has produced a remarkable wealth of beautiful ideas with tremendous impact on computer science and beyond. Some of the most powerful contributions, such as P versus NP, pseudo randomness, zero-knowledge proofs, PCP, quantum computers, boosting, etc, represent not only major technical breakthroughs, but also distill fundamental computational concepts and make deep connections between different fields and areas.
STOC and FOCS played a critical role in nurturing these connections when the field was smaller and more intimate, by providing a forum where essential new ideas could be distilled, rapidly communicated, assimilated, discussed and reinterpreted.
With the growth of the theoretical computer science and the corresponding deluge of information, what is the most effective role that a conference can play in facilitating the type of dialog necessary for future powerful contributions to the field? The quest of ITCS is to embody the answer to this question. Dialog and discussions between sub-areas of ITCS are facilitated by organizing ITCS as a single track conference, with "Chair rants" helping provide the context for each session.
Moreover, submissions, refereeing and presentations emphasize the I in ITCS: new concepts or models, new lines of inquiry, new techniques or novel use of existing techniques, and new connections between areas. Communication is further aided by rapid dissemination four months from submission to conferenceand free access via electronic proceedings. See the local arrangements website. Registration is open! See also the Call for Papers and Accepted Papers. The ITCS Conferences Theoretical computer science has produced a remarkable wealth of beautiful ideas with tremendous impact on computer science and beyond.ITCS seeks to promote research that carries a strong conceptual message e.
ITCS welcomes both conceptual and technical contributions whose contents will advance and inspire the greater theory community. The font size should be at least 11 point and the paper should be single column.
Beyond these, there are no formatting requirements. Authors are required to submit a COI declaration upon submission. Submissions should not have the authors' names on them. Instead, author and institution information is to be uploaded separately. PC members will still be able to access author names in the reviewing process if they feel they need to; the intent of this procedure is to make it easier for PC members to remove unconscious biases.
You are free to post your paper on arXiv, etc. Authors should strive to make their paper accessible not only to experts in their subarea, but also to the theory community at large. The submission should include proofs of all central claims. In addition, it is recommended for the paper to contain, within the first 10 pages, a concise and clear presentation of the merits of the paper, including a discussion of its significance, innovations, and place within or outside of our field's scope and literature.
The committee will put a premium on writing that conveys clearly and in the simplest possible way what the paper is accomplishing. All submissions will be treated as confidential, and will only be disclosed to the committee and their chosen sub-referees.
In addition, the program committee may consult with journal editors and program chairs of other conferences about controversial issues such as parallel submissions. Simultaneous submission to ITCS and to a journal is allowed.
Papers accepted to ITCS should not be submitted to any other archival conferences. Authors are encouraged to post full versions of their submissions in a freely accessible online repository such as the arxiv, the ECCC, or the Cryptology ePrint archive. We expect that authors of accepted papers will make full versions of their papers, with proofs, available before the conference begins.
Accepted papers must be presented orally at the conference by one or more of the authors. There are two types of presentation: either a regular talk the length of which will be determined by the PC based on the entire pool of accepted papersor a short oral presentation minutes followed by a presentation as a poster at an evening session.Accepted Papers Research Track.
Impact of switching bug trackers: a case study on a medium-sized open source project 5. A Qualitative Study on Framework Debugging 8. Mohamed A. Handling duplicates in Dockerfiles families: Learning from experts Chunhua Yang and Jim Whitehead. Do Energy-oriented Changes Hinder Maintainability?
Investigating instability architectural smells evolution: an exploratory case study Roy and Kevin Schneider. Teaching Software Maintenance Christian NewmanMichael J.
Can everyone use my app? Huong Ha and Hongyu Zhang. An industrial study on the differences between pre-release and post-release bugs. Syntax and Stack Overflow: A methodology for source code error and fix extraction 3. Linguistic Change in Open Source Software 5.
ISAAC 2019 Accepted Papers
Mohammed Alhamed and Tim Storer. Estimating Software Task Effort in Crowds Personalized Code Recommendation A Mining-based Investigation Automated Characterization of Software Vulnerabilities Graph Searches and Their End Vertices. Nader Bshouty. Kazuya Haraguchi and Hiroshi Nagamochi. Landau and Oren Weimann. Top Tree Compression of Tries. Ahad N. Sliding window property testing for regular languages. Isaac B. Goldstein, Moshe Lewenstein and Ely Porat. David Naori and Danny Raz.
R Inkulu and Sanjiv Kapoor. Approximate Euclidean shortest paths in polygonal domains. Rahul Jain and Raghunath Tewari. Reachability in High Treewidth Graphs. Gordon Hoi and Frank Stephan. Cyclability in Graph Classes.
Complexity of Linear Operators. Susanne Albers and Leon Ladewig. New Results for the k-Secretary Problem. Blocking dominating sets for H-free graphs via edge contractions. Internal Dictionary Matching. Kyle Fox and Xinyi Li. Approximating the Geometric Edit Distance.
Wei Chen and Binghui Peng. Sang Won Bae. The Weighted k-center Problem in Trees for Fixed k. Online Knapsack Problems with a Resource Buffer. Local cliques in ER-perturbed random geometric graphs.
On the Complexity of Lattice Puzzles. Lorenzo De Stefani. How does object fatness impact the complexity of packing in d dimensions?
Kim Thang Nguyen. An improved data structure for left-right maximal generic words problem.Innovations in Theoretical Computer Science 2020 Session 9
Stabilization Time in Minority Processes.To deal with the issues of vibration suppression of the large space structures LSS such as design complexity, fault-tolerant limitation, repeated expansion difficulty and etc. According to the structure characteristics, the LSS is firstly divided into different control units, and the dynamic model of each unit is developed. The distributed LQR vibration controller of each unit is then designed and the final distributed vibration control system of the whole structure is therefore integrated.
Simulations are presented to verify the validity of the proposed controller, and the results demonstrate that repeatable distributed controllers can achieve vibration suppression for LSS and provide good fault-tolerance performance. In this paper, information technology has been developed for automatic highlighting the lungs on x-ray images, based on the images pre-processing, calculation of textural properties and classification of kmeans.
While using the k-means method, the relationship between the segmentation error and fragmentation window size was revealed.
Within the study, both a visual criterion for evaluating the quality of the segmentation result and a criterion based on calculating the clustering error on a large set of fragmented images were implemented. The study also included image pre-processing techniques. Xray image clustering errors for fragmentation windows of 12x12, 24x24 and 36x36 were presented. The article proposes a new method for analyzing eye fundus images. The method is based on the convolutional neural network CNN.
The CNN architecture was constructed, followed by network learning on a balanced dataset composed of four classes of images, composed of thick and thin blood vessels, healthy areas, and exudate areas. Segmentation of fundus images was performed using CNN. Detection and description of keypoints from an image is a well-studied problem in Computer Vision.
This paper proposes a solution for a particular case study on object recognition of industrial parts based on hierarchical classification. Reducing the number of instances leads to better performance, indeed, that is what the use of the hierarchical classification is looking for.
We conduct extensive experiments to compare the accuracy of two popular classification models: logistic regression via N-grams that account for sequences in the data and recurrent neural networks that perform the extraction of sequential patterns automatically. Overall our results indicate that using simple linear models in modern AI production systems is a judicious choice unless the necessity for higher accuracy significantly outweighs the cost of much longer training times.
Marco A. Online trends have established themselves as a new method of information propagation that is reshaping journalism in the digital age. Services such as Google Trends and Twitter Trends have recently attracted a great deal of attention.
Trend discovery has therefore become a fundamental aid to monitor and summarise information. While previous research on trend discovery has focused on the dynamics of data streams, we argue that sentiment analysis—the classification of human emotion expressed in text—can enhance existing algorithms for trend discovery.
By highlighting topics that are strongly polarised, sentiment analysis can offer further insight into the influence of users who are involved in a trend, and how other users adopt such a trend. As a case study, we have investigated a highly topical subject: Brexit, the withdrawal of the United Kingdom from the European Union.