Approximate Rank-Detecting Factorization of Low-Rank Tensors

We present an algorithm, AROFAC2, which detects the (CP-)rank of a degree 3 tensor and calculates its factorization into rank-one components. We provide generative conditions for the algorithm to work and demonstrate on both synthetic and real world data that AROFAC2 is a potentially outperforming alternative to the gold standard PARAFAC over which it has the advantages that it can intrinsically detect the true rank, avoids spurious components, and is stable with respect to outliers and non-Gaussian noise

Learning with Algebraic Invariances, and the Invariant Kernel Trick

When solving data analysis problems it is important to integrate prior knowledge and/or structural invariances. This paper contributes by a novel framework for incorporating algebraic invariance structure into kernels. In particular, we show that algebraic properties such as sign symmetries in data, phase independence, scaling etc. can be included easily by essentially performing the kernel trick twice. We demonstrate the usefulness of our theory in simulations on selected applications such as sign-invariant spectral clustering and underdetermined ICA

“You are not my boss!”: Managing inter-organizational collaboration in German ground handling operations

While inter-organizational coordination among firms in networks has become a widespread phenomenon and the governance of inter-organizational networks has garnered considerable attention in the management literature, the repercussions of the network form for managing and organizing work remain a considerable gap in the literature. Building on Gittell’s concept of relational coordination, we explore the inter-organizational work collaboration in four German airports’ ground handling operations. By zooming-in on ramp agents’ boundary spanning work role, our comparative study illustrates whether and how a collaboration in inter-organizational work processes is brought about in practice. Our findings reveal the various practices ramp agents deploy in order to handle the tensions emerging from divergent organizational jurisdictions and the requirements for collaboration. We also illuminate how the field-level context influences inter-organizational collaboration by setting conditions such as workload and time restrictions in distributed service delivery

Tidstypiske oppfatnings- og handlingskriser hos ungdommer

Forfatteren argumenterer for at skolen i dag er mer frigjort fra gamle tradisjoner og normer, men samtidig er elevene overgitt til flere valg og et økende krav til selvstendighet. Ungdommens forventninger er ikke alltid realistiske, hvilket kan medføre opplevelse av skam om de møter motgang. Det blir derfor viktig for ungdommen å utvikle det forfatteren kaller ”jeg-avgrensing” og ”jeg-distanse”, og at skolene tilbyr en varig interaksjonsramme

Tidstypiske oppfatnings- og handlingskriser hos ungdommer

Forfatteren argumenterer for at skolen i dag er mer frigjort fra gamle tradisjoner og normer, men samtidig er elevene overgitt til flere valg og et økende krav til selvstendighet. Ungdommens forventninger er ikke alltid realistiske, hvilket kan medføre opplevelse av skam om de møter motgang. Det blir derfor viktig for ungdommen å utvikle det forfatteren kaller ”jeg-avgrensing” og ”jeg-distanse”, og at skolene tilbyr en varig interaksjonsramme

Mature Crossbred Cow Productivity Among Groups Containing Zero, One-Fourth and One-Half Brahman in Spring and Fall Calving Systems

Animal Breeding and Reproductio

On blind separability based on the temporal predictability method

This letter discusses blind separability based on temporal predictability (Stone, 2001; Xie, He, & Fu, 2005). Our results show that the sources are separable using the temporal predictability method if and only if they have different temporal structures (i.e., autocorrelations). Consequently, the applicability and limitations of the temporal predictability method are clarified. In addition, instead of using generalized eigendecomposition, we suggest using joint approximate diagonalization algorithms to improve the robustness of the method. A new criterion is presented to evaluate the separation results. Numerical simulations are performed to demonstrate the validity of the theoretical results