Marko Jankovic

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This paper presents analysis of the recently proposed modulated Hebb-Oja (MHO) method that performs linear mapping to a lower-dimensional subspace. Principal component subspace is the method that will be analyzed. Comparing to some other well-known methods for yielding principal component subspace (e.g., Oja's Subspace Learning Algorithm), the proposed(More)
Principal Component Analysis (PCA) and Principal Subspace Analysis (PSA) are classic techniques in statistical data analysis, feature extraction and data compression. Given a set of multivariate measurements, PCA and PSA provide a smaller set of "basis vectors" with less redundancy, and a subspace spanned by them, respectively. Artificial neurons and neural(More)
In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case: Symmetric Nonnegative Matrix Factorization (SNMF) that have many potential applications, including multi-way clustering, feature extraction, multisensory or multi-dimensional(More)
This paper presents one possible implementation of a transformation that performs linear mapping to a lower-dimensional subspace. Principal component subspace will be the one that will be analyzed. Idea implemented in this paper represents generalization of the recently proposed infinity OH neural method for principal component extraction. The calculations(More)
Observing information systems projects shows that Information Systems Engineering (ISE) methods are underused. The iAMF project aims at (a) tracing stakeholders’ activities to identify whether this statement is true and (b) proposing more efficient ISE methods. To trace stakeholders’ activities, we need a tool able to record any computerized actions as(More)
Software development process is like any other business process composed of activities carried out by process participants in order to achieve a certain goal. In contrast to a typical business process that is relatively deterministic and thus repeatable, software processes are much more dynamic in nature and dependent on a number of circumstances. This(More)
Noise represents one of the most significant disturbances in measured room impulse responses (RIRs), and it has a potentially large impact on evaluation of the decay parameters. In order to reduce noise effects, various methods have been applied, including truncation of an RIR. In this paper, a procedure for the response truncation based on a model of RIR(More)
Slavko Žitnik, Lovro Šubelj, Marko Janković, Bojan Furlan, Dražen Drašković, Nemanja Kojić, Marko Mǐsić, Marko Bajec University of Ljubljana, Tržaška cesta 25, SI-1000 Ljubljana Optilab d.o.o., Župančičeva 8, SI-5270 Ajdovščina University of Belgrade, Bulevar kralja Aleksandra 73, RS-11120 Belgrade {slavko.zitnik, lovro.subelj,(More)
Empirical studies show that the use and adoption of software development methods (SDMs) in practice is still low. Not just that developers often avoid to follow what is prescribed in their organisations, very often the organisations don't even have prescribed and documented methods. This situation is recognized as one of the main reasons for failures in IT(More)